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video-generator

Descript

Descript automates editing, cleanup, and effects well enough to speed drafts, but review is still essential.

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Transcript-based editingAuto captionsAI B-rollNeeds review
TL;DR — our verdictUpdated August 2026 · 26 test artifacts

Our take

Where it wins
  • You want transcript-first AI editing for raw talking-head or webcam footage
  • You want automatic captions with quick manual correction inside the same editor
  • You want AI-generated B-roll and are okay replacing weak clips by hand
Main limitation
  • You need every meaningful word preserved without review
Pricing (verified plans)
Free $0Hobbyist $16/person/monthCreator $24/person/monthBusiness $50/person/month
Strongest test artifacts

Feature scores on this page: 7.9/10 (1 scored feature)

Our take

Descript is strongest as an all-in-one draft builder: transcript-first editing, captioning, audio cleanup, background removal, and even prompt-driven sound-effect placement all happen inside the same editor. It can save a lot of time on straightforward talking-head, product, or promo clips, but the tests repeatedly showed cleanup work afterward: cut words, loose B-roll, halo/fringing and lighting mismatch, voice-tone shifts, and sound effects that were sometimes generic or off-timed. The overall fit is best for fast turnaround and a single-project workflow, not for first-pass precision or highly nuanced creative decisions.

Screen recording of Descript's AI-assisted editing workflow across both benchmark inputs.

In-Depth Review

Our detailed analysis of Descript — features, performance, and real-world testing.

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Verified Review

Feature-by-Feature Breakdown

Audio Noise Reduction and Voice Enhancement
Test Summary
Feature tested: Audio Noise Reduction and Voice Enhancement
Result: Partial

Feature tested: Audio Noise Reduction and Voice Enhancement

Result: Partial

Expected behavior: Descript cleans up recorded speech by reducing background noise and improving clarity, with adjustable strength and before/after preview. The cards were exercised on indoor AC/fan, indoor AC-only, and outdoor balcony recordings, including the 0–100% slider behavior at the high end.

Test case: Audio file → Audio file

Input type: Audio file

Input used: Input artifact (Audio file): Input — AI demos direction ac and fan on.wav

Observed output: Output artifact (Audio file): At 100% intensity, Studio Sound removed the continuous AC hum, fan whirr, hiss, and mic bump noise from the clip in about 10–15 seconds, but it also changed the speaker's natural vocal timbre. — AI demos direction ac and fan on - Descript Studio Sound Demo Video.mp3

Input artifact: Input artifact (Audio file): Input — AI demos direction ac and fan on.wav

Output artifact: Output artifact (Audio file): At 100% intensity, Studio Sound removed the continuous AC hum, fan whirr, hiss, and mic bump noise from the clip in about 10–15 seconds, but it also changed the speaker's natural vocal timbre. — AI demos direction ac and fan on - Descript Studio Sound Demo Video.mp3

What changed: Audio file transformed into Audio file

Test case: Audio file → Audio file

Input type: Audio file

Input used: Input artifact (Audio file): Input — Ai direction ac on fan off noise from noise.wav

Observed output: Output artifact (Audio file): At 100% intensity, Studio Sound removed the AC hum, hiss-type noise, and most breathing noise, but a small residual noise pocket remained around 7–8 seconds and the voice timbre still shifted. — Ai direction ac on fan off noise from noise - Descript Studio Sound Demo Video.mp3

Input artifact: Input artifact (Audio file): Input — Ai direction ac on fan off noise from noise.wav

Output artifact: Output artifact (Audio file): At 100% intensity, Studio Sound removed the AC hum, hiss-type noise, and most breathing noise, but a small residual noise pocket remained around 7–8 seconds and the voice timbre still shifted. — Ai direction ac on fan off noise from noise - Descript Studio Sound Demo Video.mp3

What changed: Audio file transformed into Audio file

Test case: Audio file → Audio file

Input type: Audio file

Input used: Input artifact (Audio file): Input — Outside in balcony birds vehicles and surrounding noise.wav

Observed output: Output artifact (Audio file): At 100% intensity, Studio Sound reduced wind/air noise, breathing noise, and bird chirping, but a chair-creak/transient noise at the start still remained and the vocal tone changed. — Outside in balcony birds vehicles and surrounding noise - Descript Studio Sound Demo Video.mp3

Input artifact: Input artifact (Audio file): Input — Outside in balcony birds vehicles and surrounding noise.wav

Output artifact: Output artifact (Audio file): At 100% intensity, Studio Sound reduced wind/air noise, breathing noise, and bird chirping, but a chair-creak/transient noise at the start still remained and the vocal tone changed. — Outside in balcony birds vehicles and surrounding noise - Descript Studio Sound Demo Video.mp3

What changed: Audio file transformed into Audio file

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): Input

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (Text prompt): Input

Output artifact: Output artifact (Text prompt): Output

What changed: Text prompt transformed into Text prompt

Why it matters / Conclusion: Useful cleanup, especially on noisy speech, but it can make the voice sound less natural.

Descript cleans up recorded speech by reducing background noise and improving clarity, with adjustable strength and before/after preview. The cards were exercised on indoor AC/fan, indoor AC-only, and outdoor balcony recordings, including the 0–100% slider behavior at the high end.

audio
0:00 / 0:00
Loading audio...
audio
0:00 / 0:00
Loading audio...
At 100% intensity, Studio Sound removed the continuous AC hum, fan whirr, hiss, and mic bump noise from the clip in about 10–15 seconds, but it also changed the speaker's natural vocal timbre.
audio
0:00 / 0:00
Loading audio...
audio
0:00 / 0:00
Loading audio...
At 100% intensity, Studio Sound removed the AC hum, hiss-type noise, and most breathing noise, but a small residual noise pocket remained around 7–8 seconds and the voice timbre still shifted.
audio
0:00 / 0:00
Loading audio...
audio
0:00 / 0:00
Loading audio...
At 100% intensity, Studio Sound reduced wind/air noise, breathing noise, and bird chirping, but a chair-creak/transient noise at the start still remained and the vocal tone changed.
INPUT
Studio Sound was set to 100% on the benchmark clips and compared with the original audio using before/after playback.
OUTPUT
The preview controls let the tester compare the original and processed audio inside Descript before exporting.
Bottom Line
Useful cleanup, especially on noisy speech, but it can make the voice sound less natural.
From our researchEdit Videos Using AI — No Editing Skills RequiredRemove Background Noise from Audio and Video Recordings Using AI
Integrated Review and Export
Test Summary
Feature tested: Integrated Review and Export
Result: Partial

Feature tested: Integrated Review and Export

Result: Partial

Expected behavior: Descript keeps generated edits and sound effects inside the editor timeline for in-place review, then exports the finished project as a single video file. The tested outputs included MP4 export while preserving the applied edits.

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Text prompt transformed into Text prompt

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — input-1-product-demo.mp4

Observed output: Output artifact (Video file): The generated effects were labeled on the timeline and the interface was praised for usability, but export is only available as the full video rather than as separate sound-effect layers. — descript-product-reveal-output-1.mp4

Input artifact: Input artifact (Video file): Input — input-1-product-demo.mp4

Output artifact: Output artifact (Video file): The generated effects were labeled on the timeline and the interface was praised for usability, but export is only available as the full video rather than as separate sound-effect layers. — descript-product-reveal-output-1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): INPUT — Product reveal.mp4

Observed output: Output artifact (Video file): The finished deliverable is exported as one full video, not as separate sound-effect layers. — descript-product-reveal-output-1.mp4

Input artifact: Input artifact (Video file): INPUT — Product reveal.mp4

Output artifact: Output artifact (Video file): The finished deliverable is exported as one full video, not as separate sound-effect layers. — descript-product-reveal-output-1.mp4

What changed: Video file transformed into Video file

Test case: Text prompt → Video file

Input type: Text prompt

Input used: Input artifact (Text prompt): Input

Observed output: Output artifact (Video file): The finished edit exported successfully as MP4, kept the applied replacement, and retained the original 1920×1080 resolution. — Descript output1.mp4

Input artifact: Input artifact (Text prompt): Input

Output artifact: Output artifact (Video file): The finished edit exported successfully as MP4, kept the applied replacement, and retained the original 1920×1080 resolution. — Descript output1.mp4

What changed: Text prompt transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — oregoncoast_input.mp4.mp4

Observed output: Output artifact (Video file): The exported MP4 preserved the applied background replacement and remained playable at the original 1920 × 1080 resolution; the quality limits came from AI cutout/compositing artifacts, not export corruption. — Descript output1.mp4

Input artifact: Input artifact (Video file): Input — oregoncoast_input.mp4.mp4

Output artifact: Output artifact (Video file): The exported MP4 preserved the applied background replacement and remained playable at the original 1920 × 1080 resolution; the quality limits came from AI cutout/compositing artifacts, not export corruption. — Descript output1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — talkinghead_input.mp4.mp4

Observed output: Output artifact (Video file): The exported MP4 kept the same replacement scene and resolution, and the edge, lighting, and framing issues visible in the editor carried through unchanged rather than being introduced during export. — Descript output 2.mp4

Input artifact: Input artifact (Video file): Input — talkinghead_input.mp4.mp4

Output artifact: Output artifact (Video file): The exported MP4 kept the same replacement scene and resolution, and the edge, lighting, and framing issues visible in the editor carried through unchanged rather than being introduced during export. — Descript output 2.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — busystreet_input.mp4.mp4

Observed output: Output artifact (Video file): The final MP4 preserved the alley composite at the original 1920 × 1080 resolution; the remaining issues were the same AI scene and segmentation limits already visible in the project. — Descript output 3.mp4

Input artifact: Input artifact (Video file): Input — busystreet_input.mp4.mp4

Output artifact: Output artifact (Video file): The final MP4 preserved the alley composite at the original 1920 × 1080 resolution; the remaining issues were the same AI scene and segmentation limits already visible in the project. — Descript output 3.mp4

What changed: Video file transformed into Video file

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): Input

Observed output: Output artifact (Image): The transcript, timeline, AI suggestions, and export controls stay in one workspace, but the final cut still needed manual verification before publishing. — Descript-input1-failure-3-manual-review-required-before-publishing.png

Input artifact: Input artifact (Text prompt): Input

Output artifact: Output artifact (Image): The transcript, timeline, AI suggestions, and export controls stay in one workspace, but the final cut still needed manual verification before publishing. — Descript-input1-failure-3-manual-review-required-before-publishing.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Export succeeded cleanly in testing and preserved the edit rather than reintroducing new problems.

Descript keeps generated edits and sound effects inside the editor timeline for in-place review, then exports the finished project as a single video file. The tested outputs included MP4 export while preserving the applied edits.

INPUT
Need to export the generated sound effects as separate layers after generation.
OUTPUT
Not supported: the report says only the full video can be exported, not individual sound-effect tracks.
video
The generated effects were labeled on the timeline and the interface was praised for usability, but export is only available as the full video rather than as separate sound-effect layers.
video
The finished deliverable is exported as one full video, not as separate sound-effect layers.
INPUT
INPUT: Export the finished background-replaced project as MP4.
video
The finished edit exported successfully as MP4, kept the applied replacement, and retained the original 1920×1080 resolution.
OUTPUT
The exported MP4 preserved the applied background replacement and remained playable at the original 1920 × 1080 resolution; the quality limits came from AI cutout/compositing artifacts, not export corruption.
OUTPUT
The exported MP4 kept the same replacement scene and resolution, and the edge, lighting, and framing issues visible in the editor carried through unchanged rather than being introduced during export.
OUTPUT
The final MP4 preserved the alley composite at the original 1920 × 1080 resolution; the remaining issues were the same AI scene and segmentation limits already visible in the project.
INPUT
After AI editing, can the project be reviewed and exported without leaving Descript?
image
Output artifact for "Integrated Review and Export" test: The transcript, timeline, AI suggestions, and export controls stay in one workspace, but the final cut still needed manual verification before publishing., Descript-input1-failure-3-manual-review-required-before-publishing.png
The transcript, timeline, AI suggestions, and export controls stay in one workspace, but the final cut still needed manual verification before publishing.
Bottom Line
Export succeeded cleanly in testing and preserved the edit rather than reintroducing new problems.
From our researchRemove or Replace Video Backgrounds Using AIAutomatically Add Relevant Sound Effects to VideosEdit Videos Using AI — No Editing Skills Required
AI Background Removal and Replacement
Test Summary
Feature tested: AI Background Removal and Replacement
Result: Partial

Feature tested: AI Background Removal and Replacement

Result: Partial

Expected behavior: Descript can remove or replace video backgrounds inside the editor with a one-click workflow and non-destructive layered compositing. The exercised cases included walking, talking-head, and busy-street clips, plus video, image, GIF, and stock-background inputs.

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Text prompt transformed into Text prompt

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Text prompt transformed into Text prompt

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — oregoncoast_input.mp4.mp4

Observed output: Output artifact (Video file): The desert backdrop replaced the coast completely and preserved the walking silhouette, but the result still showed edge haloing, lighting mismatch, uniform ripples, and an extra tree that was not requested. — Descript output1.mp4

Input artifact: Input artifact (Video file): Input — oregoncoast_input.mp4.mp4

Output artifact: Output artifact (Video file): The desert backdrop replaced the coast completely and preserved the walking silhouette, but the result still showed edge haloing, lighting mismatch, uniform ripples, and an extra tree that was not requested. — Descript output1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — talkinghead_input.mp4.mp4

Observed output: Output artifact (Video file): The YouTube-style room read as a coherent composited scene, but the subject lacked colored light spill, the shoulder matte was rough, the background felt undersized, and the output crop tightened compared with the input. — Descript output 2.mp4

Input artifact: Input artifact (Video file): Input — talkinghead_input.mp4.mp4

Output artifact: Output artifact (Video file): The YouTube-style room read as a coherent composited scene, but the subject lacked colored light spill, the shoulder matte was rough, the background felt undersized, and the output crop tightened compared with the input. — Descript output 2.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — busystreet_input.mp4.mp4

Observed output: Output artifact (Video file): The alley scene delivered the requested mood and wet reflections, but the composite also introduced a ghost figure, failed to wrap warm light around the jackets, flattened the motion cue, and left the subjects scaled awkwardly for the narrow walls. — Descript output 3.mp4

Input artifact: Input artifact (Video file): Input — busystreet_input.mp4.mp4

Output artifact: Output artifact (Video file): The alley scene delivered the requested mood and wet reflections, but the composite also introduced a ghost figure, failed to wrap warm light around the jackets, flattened the motion cue, and left the subjects scaled awkwardly for the narrow walls. — Descript output 3.mp4

What changed: Video file transformed into Video file

Why it matters / Conclusion: Useful one-click cutout and replacement, but edge fidelity and motion-heavy scenes still needed cleanup.

Descript can remove or replace video backgrounds inside the editor with a one-click workflow and non-destructive layered compositing. The exercised cases included walking, talking-head, and busy-street clips, plus video, image, GIF, and stock-background inputs.

INPUT
Replace the removed background with another scene inside the same project.
OUTPUT
The layer-based workflow made it practical to revisit or swap the background, but lighting, scale, and prompt adherence still needed review.
INPUT
Three clips with varying difficulty, including a straightforward clip, a motion-heavy clip, and a busy scene.
OUTPUT
Subject identity and overall scene composition held up reasonably well, but edge cleanup and motion handling were inconsistent; halos, hair fringing, lighting mismatch, flatter motion, and one unrequested element appeared.
OUTPUT
The desert backdrop replaced the coast completely and preserved the walking silhouette, but the result still showed edge haloing, lighting mismatch, uniform ripples, and an extra tree that was not requested.
OUTPUT
The YouTube-style room read as a coherent composited scene, but the subject lacked colored light spill, the shoulder matte was rough, the background felt undersized, and the output crop tightened compared with the input.
OUTPUT
The alley scene delivered the requested mood and wet reflections, but the composite also introduced a ghost figure, failed to wrap warm light around the jackets, flattened the motion cue, and left the subjects scaled awkwardly for the narrow walls.
Bottom Line
Useful one-click cutout and replacement, but edge fidelity and motion-heavy scenes still needed cleanup.
From our researchAutomatically Add Relevant Sound Effects to VideosRemove or Replace Video Backgrounds Using AIEdit Videos Using AI — No Editing Skills Required
Automatic Transcription on Upload
Test Summary
Feature tested: Automatic Transcription on Upload
Result: Passed

Feature tested: Automatic Transcription on Upload

Result: Passed

Expected behavior: Descript accepts uploaded media and generates a transcript alongside the waveform for in-app review. The exercised inputs included MP3, FLAC, AAC, and video files.

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): Input

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (Text prompt): Input

Output artifact: Output artifact (Text prompt): Output

What changed: Text prompt transformed into Text prompt

Test case: Audio file → Text prompt

Input type: Audio file

Input used: Input artifact (Audio file): INPUT — AI demos direction ac and fan on.wav

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Audio file): INPUT — AI demos direction ac and fan on.wav

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Audio file transformed into Text prompt

Test case: Audio file → Text prompt

Input type: Audio file

Input used: Input artifact (Audio file): INPUT — Ai direction ac on fan off noise from noise.wav

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Audio file): INPUT — Ai direction ac on fan off noise from noise.wav

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Audio file transformed into Text prompt

Test case: Audio file → Text prompt

Input type: Audio file

Input used: Input artifact (Audio file): INPUT — Outside in balcony birds vehicles and surrounding noise.wav

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Audio file): INPUT — Outside in balcony birds vehicles and surrounding noise.wav

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Audio file transformed into Text prompt

Why it matters / Conclusion: Useful if you want to stay inside Descript while cleaning clips, though the source report did not provide a saved transcript artifact for comparison.

Descript accepts uploaded media and generates a transcript alongside the waveform for in-app review. The exercised inputs included MP3, FLAC, AAC, and video files.

INPUT
Three benchmark recordings were uploaded directly into Descript from WAV files during the test.
OUTPUT
Each uploaded file produced a text transcript alongside the waveform for review, and the report says the same workflow also supports video files.
audio
0:00 / 0:00
Loading audio...
OUTPUT
Descript accepted the file directly and auto-generated a text transcript alongside the waveform.
audio
0:00 / 0:00
Loading audio...
OUTPUT
Descript accepted the file directly and auto-generated a text transcript alongside the waveform.
audio
0:00 / 0:00
Loading audio...
OUTPUT
Descript accepted the file directly and auto-generated a text transcript alongside the waveform.
Bottom Line
Useful if you want to stay inside Descript while cleaning clips, though the source report did not provide a saved transcript artifact for comparison.
From our researchRemove Background Noise from Audio and Video Recordings Using AI
Batch Audio Cleanup and Export
Test Summary
Feature tested: Batch Audio Cleanup and Export
Result: Partial

Feature tested: Batch Audio Cleanup and Export

Result: Partial

Expected behavior: Descript lets you apply audio cleanup to multiple files in one action and export the processed audio in common formats such as MP3 or WAV. The tested workflows covered grouped cleanup, bundled batch output, and successful MP3/WAV export.

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): Input

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (Text prompt): Input

Output artifact: Output artifact (Text prompt): Output

What changed: Text prompt transformed into Text prompt

Why it matters / Conclusion: Handy for bulk application, but the bundled export behavior makes per-file workflows awkward.

Descript lets you apply audio cleanup to multiple files in one action and export the processed audio in common formats such as MP3 or WAV. The tested workflows covered grouped cleanup, bundled batch output, and successful MP3/WAV export.

INPUT
Multiple benchmark files were selected for batch processing and export.
OUTPUT
Multiple files could be processed together, but exporting a batch bundled their combined runtime rather than producing separate per-file exports, so the tester exported one file at a time.
Bottom Line
Handy for bulk application, but the bundled export behavior makes per-file workflows awkward.
From our researchRemove Background Noise from Audio and Video Recordings Using AI
Transcript-based AI editing
Test Summary
Feature tested: Transcript-based AI editing
Result: Partial

Feature tested: Transcript-based AI editing

Result: Partial

Expected behavior: Descript lets you edit media from the transcript and prompt, automatically removing dead air, filler words, retakes, and long pauses. In the benchmark it also improved pacing and could add background music, though aggressive cleanup sometimes removed meaningful dialogue.

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Input 1 - Talking Head with Dead Air.mp4

Observed output: Output artifact (Video file): Descript removed most dead air and filler words and tightened pacing, but it also cut meaningful dialogue in places, so the edit needed review before publishing. — Descript Output 1 - Talking Head with Dead Air.mp4

Input artifact: Input artifact (Video file): Input — Input 1 - Talking Head with Dead Air.mp4

Output artifact: Output artifact (Video file): Descript removed most dead air and filler words and tightened pacing, but it also cut meaningful dialogue in places, so the edit needed review before publishing. — Descript Output 1 - Talking Head with Dead Air.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Input 2 - Low-Quality Audio & Lighting.mp4

Observed output: Output artifact (Video file): The transcript edit cleaned up pauses and filler words on the noisy webcam clip, but some meaningful phrases were removed, so the cut was not fully publish-ready. — Descript Output 2 - Low-Quality Audio & Lighting.mp4

Input artifact: Input artifact (Video file): Input — Input 2 - Low-Quality Audio & Lighting.mp4

Output artifact: Output artifact (Video file): The transcript edit cleaned up pauses and filler words on the noisy webcam clip, but some meaningful phrases were removed, so the cut was not fully publish-ready. — Descript Output 2 - Low-Quality Audio & Lighting.mp4

What changed: Video file transformed into Video file

Why it matters / Conclusion: Strong for fast cleanup and pacing, but the AI can overcut and remove important speech, so manual verification is required.

Descript lets you edit media from the transcript and prompt, automatically removing dead air, filler words, retakes, and long pauses. In the benchmark it also improved pacing and could add background music, though aggressive cleanup sometimes removed meaningful dialogue.

video
Descript removed most dead air and filler words and tightened pacing, but it also cut meaningful dialogue in places, so the edit needed review before publishing.
video
The transcript edit cleaned up pauses and filler words on the noisy webcam clip, but some meaningful phrases were removed, so the cut was not fully publish-ready.
Bottom Line
Strong for fast cleanup and pacing, but the AI can overcut and remove important speech, so manual verification is required.
From our researchEdit Videos Using AI — No Editing Skills Required
Caption generation and correction
Test Summary
Feature tested: Caption generation and correction
Result: Passed

Feature tested: Caption generation and correction

Result: Passed

Expected behavior: Descript automatically generates synchronized captions and provides tools to restyle and correct them in the same editor. The benchmark showed high caption accuracy overall, with technical terms and product names still needing manual fixes.

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Input 1 - Talking Head with Dead Air.mp4

Observed output: Output artifact (Video file): Captions were synchronized and generally accurate on the talking-head clip, though some text still needed correction after aggressive transcript edits. — Descript Output 1 - Talking Head with Dead Air.mp4

Input artifact: Input artifact (Video file): Input — Input 1 - Talking Head with Dead Air.mp4

Output artifact: Output artifact (Video file): Captions were synchronized and generally accurate on the talking-head clip, though some text still needed correction after aggressive transcript edits. — Descript Output 1 - Talking Head with Dead Air.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Input 2 - Low-Quality Audio & Lighting.mp4

Observed output: Output artifact (Video file): Captions stayed synchronized on the low-quality audio clip, but technical terms and product names needed manual correction before publishing. — Descript Output 2 - Low-Quality Audio & Lighting.mp4

Input artifact: Input artifact (Video file): Input — Input 2 - Low-Quality Audio & Lighting.mp4

Output artifact: Output artifact (Video file): Captions stayed synchronized on the low-quality audio clip, but technical terms and product names needed manual correction before publishing. — Descript Output 2 - Low-Quality Audio & Lighting.mp4

What changed: Video file transformed into Video file

Why it matters / Conclusion: Captions were generally accurate and editable, but technical terms still needed human correction.

Descript automatically generates synchronized captions and provides tools to restyle and correct them in the same editor. The benchmark showed high caption accuracy overall, with technical terms and product names still needing manual fixes.

video
Captions were synchronized and generally accurate on the talking-head clip, though some text still needed correction after aggressive transcript edits.
video
Captions stayed synchronized on the low-quality audio clip, but technical terms and product names needed manual correction before publishing.
Bottom Line
Captions were generally accurate and editable, but technical terms still needed human correction.
From our researchEdit Videos Using AI — No Editing Skills Required
AI B-roll generation and placement
Test Summary
Feature tested: AI B-roll generation and placement
Result: Partial

Feature tested: AI B-roll generation and placement

Result: Partial

Expected behavior: Descript can generate B-roll from narration and place it on the timeline, then let you replace, reposition, and trim clips manually. On the talking-head input it worked, but several visuals were only loosely related to the narration.

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — Input 1 - Talking Head with Dead Air.mp4

Observed output: Output artifact (Video file): B-roll was generated automatically, but several clips were only loosely tied to the narration and needed replacement or repositioning. — Descript Output 1 - Talking Head with Dead Air.mp4

Input artifact: Input artifact (Video file): Input — Input 1 - Talking Head with Dead Air.mp4

Output artifact: Output artifact (Video file): B-roll was generated automatically, but several clips were only loosely tied to the narration and needed replacement or repositioning. — Descript Output 1 - Talking Head with Dead Air.mp4

What changed: Video file transformed into Video file

Why it matters / Conclusion: Helpful on straightforward sections, but relevance varied enough that manual B-roll swaps were still needed.

Descript can generate B-roll from narration and place it on the timeline, then let you replace, reposition, and trim clips manually. On the talking-head input it worked, but several visuals were only loosely related to the narration.

video
B-roll was generated automatically, but several clips were only loosely tied to the narration and needed replacement or repositioning.
Bottom Line
Helpful on straightforward sections, but relevance varied enough that manual B-roll swaps were still needed.
From our researchEdit Videos Using AI — No Editing Skills Required
AI sound-effect generation and placement
Test Summary
Feature tested: AI sound-effect generation and placement
Result: Partial

Feature tested: AI sound-effect generation and placement

Result: Partial

Expected behavior: Descript can generate sound effects from a prompt and place them on a video timeline. The earlier benchmark found it strongest on straightforward clips and weaker when timing or genre nuance mattered.

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — input-1-product-demo.mp4

Observed output: Output artifact (Video file): The tool accepted drag-and-drop upload and automatically added three named sound effects. The crisp effect fit well, but a water-bubble effect felt unnecessary; the finished project still has to be exported as one full video. — descript-product-reveal-output-1.mp4

Input artifact: Input artifact (Video file): Input — input-1-product-demo.mp4

Output artifact: Output artifact (Video file): The tool accepted drag-and-drop upload and automatically added three named sound effects. The crisp effect fit well, but a water-bubble effect felt unnecessary; the finished project still has to be exported as one full video. — descript-product-reveal-output-1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — input-2-bird-chirping.mp4

Observed output: Output artifact (Video file): Descript placed bird chirping continuously across the full 10-second clip even though the bird only chirped a few times, so the sound was not synced to the actual action. — descript-bird-chirping-output-1.mp4

Input artifact: Input artifact (Video file): Input — input-2-bird-chirping.mp4

Output artifact: Output artifact (Video file): Descript placed bird chirping continuously across the full 10-second clip even though the bird only chirped a few times, so the sound was not synced to the actual action. — descript-bird-chirping-output-1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): Input — input-3-horror-ghost.mp4

Observed output: Output artifact (Video file): The horror-adjacent sound design was contextually acceptable but generic and stock-library-like, with the reviewer rating it 6/10 and judging it weaker than Mirelo on the same scene. — descript-horror-output-1.mp4

Input artifact: Input artifact (Video file): Input — input-3-horror-ghost.mp4

Output artifact: Output artifact (Video file): The horror-adjacent sound design was contextually acceptable but generic and stock-library-like, with the reviewer rating it 6/10 and judging it weaker than Mirelo on the same scene. — descript-horror-output-1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Text prompt

Input type: Video file

Input used: Input artifact (Video file): INPUT — input-2-bird-chirping.mp4

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Video file): INPUT — input-2-bird-chirping.mp4

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Video file transformed into Text prompt

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): INPUT — Product reveal.mp4

Observed output: Output artifact (Video file): Three sound effects were added automatically. The crisp effect fit well, while one water-bubble effect felt unnecessary. Overall, the reviewer liked the result. — descript-product-reveal-output-1.mp4

Input artifact: Input artifact (Video file): INPUT — Product reveal.mp4

Output artifact: Output artifact (Video file): Three sound effects were added automatically. The crisp effect fit well, while one water-bubble effect felt unnecessary. Overall, the reviewer liked the result. — descript-product-reveal-output-1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): INPUT — Bird.mp4

Observed output: Output artifact (Video file): Bird chirping was added for the full 10-second clip even though the bird chirped only 2–3 times, so the sound was not synced to the actual behavior. — descript-bird-chirping-output-1.mp4

Input artifact: Input artifact (Video file): INPUT — Bird.mp4

Output artifact: Output artifact (Video file): Bird chirping was added for the full 10-second clip even though the bird chirped only 2–3 times, so the sound was not synced to the actual behavior. — descript-bird-chirping-output-1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Video file

Input type: Video file

Input used: Input artifact (Video file): INPUT — Horror scene .mp4

Observed output: Output artifact (Video file): The horror pass produced contextually relevant but generic sound effects; the reviewer said it needed manual trimming and rated the result 6/10. — descript-horror-output-1.mp4

Input artifact: Input artifact (Video file): INPUT — Horror scene .mp4

Output artifact: Output artifact (Video file): The horror pass produced contextually relevant but generic sound effects; the reviewer said it needed manual trimming and rated the result 6/10. — descript-horror-output-1.mp4

What changed: Video file transformed into Video file

Test case: Video file → Text prompt

Input type: Video file

Input used: Input artifact (Video file): INPUT — Bird.mp4

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Video file): INPUT — Bird.mp4

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Video file transformed into Text prompt

Test case: Video file → Text prompt

Input type: Video file

Input used: Input artifact (Video file): Input — input-2-bird-chirping.mp4

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (Video file): Input — input-2-bird-chirping.mp4

Output artifact: Output artifact (Text prompt): Output

What changed: Video file transformed into Text prompt

Why it matters / Conclusion: Good on straightforward clips, but timing and genre nuance were less reliable.

Descript can generate sound effects from a prompt and place them on a video timeline. The earlier benchmark found it strongest on straightforward clips and weaker when timing or genre nuance mattered.

video
The tool accepted drag-and-drop upload and automatically added three named sound effects. The crisp effect fit well, but a water-bubble effect felt unnecessary; the finished project still has to be exported as one full video.
video
Descript placed bird chirping continuously across the full 10-second clip even though the bird only chirped a few times, so the sound was not synced to the actual action.
video
The horror-adjacent sound design was contextually acceptable but generic and stock-library-like, with the reviewer rating it 6/10 and judging it weaker than Mirelo on the same scene.
OUTPUT
The tool offered four variants — generic bird chirping, birds chirping, tropical birds, and morning birds — but none solved the fact that the chirping played continuously instead of only on the actual chirps.
video
Three sound effects were added automatically. The crisp effect fit well, while one water-bubble effect felt unnecessary. Overall, the reviewer liked the result.
video
Bird chirping was added for the full 10-second clip even though the bird chirped only 2–3 times, so the sound was not synced to the actual behavior.
video
The horror pass produced contextually relevant but generic sound effects; the reviewer said it needed manual trimming and rated the result 6/10.
OUTPUT
Descript offered four variants — generic bird chirping, birds chirping, tropical birds, and morning birds — but none resolved the timing mismatch.
OUTPUT
Four variants were offered: generic bird chirping, birds chirping, tropical birds, and morning birds.
Bottom Line
Good on straightforward clips, but timing and genre nuance were less reliable.
From our researchAutomatically Add Relevant Sound Effects to VideosEdit Videos Using AI — No Editing Skills Required
AI Storyboard Generation
Moderate — capable but dependent on agent workflow
7.9/10
Test Summary
Feature tested: AI Storyboard Generation
Result: Passed (7.9/10) — Moderate — capable but dependent on agent workflow

Feature tested: AI Storyboard Generation

Result: Passed (7.9/10)

Verdict: Moderate — capable but dependent on agent workflow

Expected behavior: Descript can map script content into storyboard frames automatically and organize those frames in storyboard view. The cards cover both prompt-driven frame creation and the agent-assisted workflow used to reduce manual organization after generation.

Test case: Artifact → Image

Input type: Artifact

Input used: Input artifact (Artifact): Narrative script submitted to AI agent with prompt : Create a realistic storyboard in 16:9 aspect ratio, using a photorealistic, cinematic style with natural lighting. Ensure strong character consistency across all frames (the same character must remain visually identical throughout) and maintain environmental continuity unless contextually required. Map each line of the script into appropriate storyboard frames with clear visual storytelling. SCRIPT: AI is quietly doing the heavy lifting for millions of creators right now. Alex sits at his desk — scripts to write, footage to edit, deadlines already missed. He opens an AI tool, types out a rough idea, and watches a full script appear on screen. Hours of editing get condensed into minutes — structured, clean, ready to publish. What used to take a full day wraps up in a single sitting. AI isn't a shortcut. For creators like Alex, it's just how work gets done now.

Observed output: Output artifact (Image): Storyboard view generated on the left panel — each script line explicitly paired to its corresponding frame by the AI agent. — Screenshot 2026-04-09 172755.png

Input artifact: Input artifact (Artifact): Narrative script submitted to AI agent with prompt : Create a realistic storyboard in 16:9 aspect ratio, using a photorealistic, cinematic style with natural lighting. Ensure strong character consistency across all frames (the same character must remain visually identical throughout) and maintain environmental continuity unless contextually required. Map each line of the script into appropriate storyboard frames with clear visual storytelling. SCRIPT: AI is quietly doing the heavy lifting for millions of creators right now. Alex sits at his desk — scripts to write, footage to edit, deadlines already missed. He opens an AI tool, types out a rough idea, and watches a full script appear on screen. Hours of editing get condensed into minutes — structured, clean, ready to publish. What used to take a full day wraps up in a single sitting. AI isn't a shortcut. For creators like Alex, it's just how work gets done now.

Output artifact: Output artifact (Image): Storyboard view generated on the left panel — each script line explicitly paired to its corresponding frame by the AI agent. — Screenshot 2026-04-09 172755.png

What changed: Artifact transformed into Image

Test case: Artifact → Artifact

Input type: Artifact

Input used: Input artifact (Artifact): Creator narrative script with character consistency instruction : Create a realistic storyboard in 16:9 aspect ratio, using a photorealistic, cinematic style with natural lighting. Ensure strong character consistency across all frames (the same character must remain visually identical throughout) and maintain environmental continuity unless contextually required. Map each line of the script into appropriate storyboard frames with clear visual storytelling. SCRIPT: AI is quietly doing the heavy lifting for millions of creators right now. Alex sits at his desk — scripts to write, footage to edit, deadlines already missed. He opens an AI tool, types out a rough idea, and watches a full script appear on screen. Hours of editing get condensed into minutes — structured, clean, ready to publish. What used to take a full day wraps up in a single sitting. AI isn't a shortcut. For creators like Alex, it's just how work gets done now.

Observed output: Output artifact (Artifact): General character appearance maintained — same build and clothing style across frames, but facial features varied noticeably between scenes.

Input artifact: Input artifact (Artifact): Creator narrative script with character consistency instruction : Create a realistic storyboard in 16:9 aspect ratio, using a photorealistic, cinematic style with natural lighting. Ensure strong character consistency across all frames (the same character must remain visually identical throughout) and maintain environmental continuity unless contextually required. Map each line of the script into appropriate storyboard frames with clear visual storytelling. SCRIPT: AI is quietly doing the heavy lifting for millions of creators right now. Alex sits at his desk — scripts to write, footage to edit, deadlines already missed. He opens an AI tool, types out a rough idea, and watches a full script appear on screen. Hours of editing get condensed into minutes — structured, clean, ready to publish. What used to take a full day wraps up in a single sitting. AI isn't a shortcut. For creators like Alex, it's just how work gets done now.

Output artifact: Output artifact (Artifact): General character appearance maintained — same build and clothing style across frames, but facial features varied noticeably between scenes.

What changed: Artifact transformed into Artifact

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Text prompt transformed into Text prompt

Test case: Artifact → PDF document

Input type: Artifact

Input used: Input artifact (Artifact): Technical script vector style instruction: Create a vector-style storyboard (clean vector graphics, flat or minimal tech-illustration style) in 16:9 aspect ratio, ensuring consistent visual style, layout system, iconography, and color palette across all frames. Maintain conceptual consistency in how elements are visually represented throughout the storyboard. Interpret each line of the script and convert it into clear explanatory visuals. SCRIPT: A base LLM only knows what it learned during training — its knowledge is frozen at the cutoff. This makes it unreliable for anything recent, private, or domain-specific. Retrieval-Augmented Generation (RAG) solves this by retrieving relevant documents before generation. The query is embedded and similar chunks are fetched from a vector database. Those chunks are injected into the prompt alongside the original query. The LLM generates an answer using both its training knowledge and the retrieved context.

Observed output: Output artifact (PDF document): Clean above average quality images generated per scene — accurate in terms of script interpretation — Descript storyboard.pdf

Input artifact: Input artifact (Artifact): Technical script vector style instruction: Create a vector-style storyboard (clean vector graphics, flat or minimal tech-illustration style) in 16:9 aspect ratio, ensuring consistent visual style, layout system, iconography, and color palette across all frames. Maintain conceptual consistency in how elements are visually represented throughout the storyboard. Interpret each line of the script and convert it into clear explanatory visuals. SCRIPT: A base LLM only knows what it learned during training — its knowledge is frozen at the cutoff. This makes it unreliable for anything recent, private, or domain-specific. Retrieval-Augmented Generation (RAG) solves this by retrieving relevant documents before generation. The query is embedded and similar chunks are fetched from a vector database. Those chunks are injected into the prompt alongside the original query. The LLM generates an answer using both its training knowledge and the retrieved context.

Output artifact: Output artifact (PDF document): Clean above average quality images generated per scene — accurate in terms of script interpretation — Descript storyboard.pdf

What changed: Artifact transformed into PDF document

Why it matters / Conclusion: Explicit script-to-frame mapping is handled automatically by the AI agent, reducing the need for manual organisation after generation, though it remains dependent on the agent’s workflow.

Descript can map script content into storyboard frames automatically and organize those frames in storyboard view. The cards cover both prompt-driven frame creation and the agent-assisted workflow used to reduce manual organization after generation.

TEXT
Narrative script submitted to AI agent with prompt : Create a realistic storyboard in 16:9 aspect ratio, using a photorealistic, cinematic style with natural lighting. Ensure strong character consistency across all frames (the same character must remain visually identical throughout) and maintain environmental continuity unless contextually required. Map each line of the script into appropriate storyboard frames with clear visual storytelling. SCRIPT: AI is quietly doing the heavy lifting for millions of creators right now. Alex sits at his desk — scripts to write, footage to edit, deadlines already missed. He opens an AI tool, types out a rough idea, and watches a full script appear on screen. Hours of editing get condensed into minutes — structured, clean, ready to publish. What used to take a full day wraps up in a single sitting. AI isn't a shortcut. For creators like Alex, it's just how work gets done now.
SCREENSHOT
Output artifact for "AI Storyboard Generation" test: Storyboard view generated on the left panel — each script line explicitly paired to its corresponding frame by the AI agent., Screenshot 2026-04-09 172755.png
TEXT
Creator narrative script with character consistency instruction : Create a realistic storyboard in 16:9 aspect ratio, using a photorealistic, cinematic style with natural lighting. Ensure strong character consistency across all frames (the same character must remain visually identical throughout) and maintain environmental continuity unless contextually required. Map each line of the script into appropriate storyboard frames with clear visual storytelling. SCRIPT: AI is quietly doing the heavy lifting for millions of creators right now. Alex sits at his desk — scripts to write, footage to edit, deadlines already missed. He opens an AI tool, types out a rough idea, and watches a full script appear on screen. Hours of editing get condensed into minutes — structured, clean, ready to publish. What used to take a full day wraps up in a single sitting. AI isn't a shortcut. For creators like Alex, it's just how work gets done now.
PDF
General character appearance maintained — same build and clothing style across frames, but facial features varied noticeably between scenes.
INPUT
Script-to-frame storyboard generation in Descript.
OUTPUT
The AI agent handled script-to-frame mapping automatically, reducing manual organization after generation.
TEXT
Technical script vector style instruction: Create a vector-style storyboard (clean vector graphics, flat or minimal tech-illustration style) in 16:9 aspect ratio, ensuring consistent visual style, layout system, iconography, and color palette across all frames. Maintain conceptual consistency in how elements are visually represented throughout the storyboard. Interpret each line of the script and convert it into clear explanatory visuals. SCRIPT: A base LLM only knows what it learned during training — its knowledge is frozen at the cutoff. This makes it unreliable for anything recent, private, or domain-specific. Retrieval-Augmented Generation (RAG) solves this by retrieving relevant documents before generation. The query is embedded and similar chunks are fetched from a vector database. Those chunks are injected into the prompt alongside the original query. The LLM generates an answer using both its training knowledge and the retrieved context.
PDF
Descript storyboard.pdf
Bottom Line
Explicit script-to-frame mapping is handled automatically by the AI agent, reducing the need for manual organisation after generation, though it remains dependent on the agent’s workflow.
From our researchearlier researchAutomatically Add Relevant Sound Effects to VideosEdit Videos Using AI — No Editing Skills Required

Pricing and access

The benchmark was run on the Free Trial.

Free
$0
Get started with text-based editing; access to AI tools to try the platform; limited free usage.
Hobbyist
$16/person/month (billed annually) or $24 monthly
10 media hours/month; 400 AI credits/month; export 1080p, watermark-free; access to Underlord; Studio Sound, Remove Filler Words, Create Clips, custom voice clones, and video regenerate.
Creator
$24/person/month (billed annually) or $35 monthly
30 media hours/month; 800 AI credits/month; export 4K, watermark-free; full access to Underlord and 20+ AI tools; unlimited royalty-free stock media.
Business
$50/person/month (billed annually) or $65 monthly
40 media hours/month; 1,500 AI credits/month; team-wide Brand Studio; translate and dub videos in 30+ languages with proofreading; custom avatars; priority support.
Enterprise
Custom pricing
Custom AI credits and media hours; text-based video editing; shared Brand Studio; AI and data controls; SOC 2 Type II, SSO, SCIM, audit logs; dedicated onboarding and training.

Plans and limits were listed in the source report and last verified there in July 2026.

✓ Use This If
You want transcript-first AI editing for raw talking-head or webcam footage
You want automatic captions with quick manual correction inside the same editor
You want AI-generated B-roll and are okay replacing weak clips by hand
You want steady-noise cleanup for AC, fan, wind, hiss, or bird noise
You want one-click background removal and non-destructive background replacement
You want a prompt-driven workflow that analyzes a video and places sound effects automatically
You want named effects and finished edits exported from the same project
You want to batch-process multiple audio files even if export stays bundled
You want a fast first pass on straightforward product, promo, or interview clips
✕ Skip This If
You need every meaningful word preserved without review
You need context-perfect B-roll on the first pass
You need the speaker's original vocal timbre preserved exactly
You need guaranteed cleanup of short transients like chair creaks or mic bumps
You need frame-accurate sound effects for tiny actions like a few bird chirps
You need cinematic or emotionally specific sound design without manual trimming
You need perfect hair, edge, motion, and lighting matching on the first pass
You need separate exports for individual sound layers or per-file batch exports
You need fully publish-ready output with no manual verification
video-generatorvideo-enhancervideoCreatorEditorTeacher
Yes. In both benchmark inputs it removed most pauses and filler words and improved pacing, which made it useful for transcript-first cleanup.
Yes. The report shows it sometimes removed meaningful words and complete phrases while cleaning up speech, so the edit still needed manual review.
Caption accuracy was generally high and the captions were synchronized well, but technical terms and product names still needed manual correction.
Yes. On the talking-head input it generated B-roll automatically, but several clips were only loosely related to the narration and had to be replaced or repositioned.
Yes. It reduced background noise and improved speech clarity on the low-quality audio test, including steady noises like AC hum, fan whirr, hiss, wind, and bird noise.
Not exactly. The tests found voice-tone changes in all three samples, and short noises like chair creaks or mic bumps were handled less reliably.
Yes. Green Screen automatically isolates the subject and supports layer-based compositing with stock footage or uploaded video, image, and GIF backgrounds.
Mixed. The tests showed halos, hair fringing, feathered edges, a cyan halo in motion, flatter motion, and lighting mismatches, so cleanup was still needed.
Yes. In testing, Descript accepted a dragged-in video, analyzed it, and automatically selected, placed, and named sound effects on the timeline after a prompt.
Mixed. It did well on a straightforward product clip, but the bird test played chirping across the full 10-second video and the horror test needed manual trimming.
No. The report says Descript exports the full video together, not individual sound-effect layers, and batch audio processing also bundled export instead of creating separate per-file exports.
The reports were inconsistent: one did not include plans, prices, or pricing dates, while another listed Free, Hobbyist, Creator, Business, and Enterprise plans and said the benchmark ran on the Free Trial.

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