---
title: "Adobe API"
type: "AI Tool"
url: "https://aidemos.com/tools/adobe-api"
description: "We tested a hybrid financial PDF and got usable Markdown for tables, charts, and scanned pages, but handwritten signatures and TOC hierarchy broke."
category: "developer-tools"
published: "2026-08-25T13:58:52.872612+00:00"
updated: "2026-09-03T12:54:09.846182+00:00"
evidenceCount: 36
verifiedCount: 36
coverage: "dense"
---

# Adobe API

Hosted PDF-to-Markdown extraction for complex documents, with strong tables, charts, and OCR but some structure gaps.

## TL;DR Verdict

**Strong at mixed PDF extraction, but not lossless on every structure type.**

**Where it wins:**
- You need a hosted API that returns Markdown from complex PDFs.
- Your documents mix tables, charts, and scanned pages.
- You want most regular financial tables to stay readable without manual cleanup.

**Main limitation:** You need handwritten signature recognition.

`Markdown export` · `Financial tables` · `Scanned OCR` · `Charts retained`

## Evidence (first-party, tested)

*36 tested cells · 36/36 artifact-verified. Cite a cell by its Evidence ID, e.g. `ev:adobe-api·cross·advanced-features`.*

| Criterion | Scenario | Verdict | Proof | Evidence ID |
| --- | --- | --- | --- | --- |
| Advanced Features | cross-scenario | ◐ mixed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/f337a17abeaf4981bfd14c1a8cf1af70.mp4?v=1) | `ev:adobe-api·cross·advanced-features` |
| Advanced Features (Bonus) | cross-scenario | ◐ mixed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/7beb6bf253ce49faab135b9fe46a085f.png?v=1) | `ev:adobe-api·cross·advanced-features-bonus` |
| Chart retention | Hybrid Earnings Report | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/a4d1d8a84e6b45ed824e8fb54743f0c0.png?v=1) | `ev:adobe-api·hybrid-earnings-report·chart-retention` |
| Chart retention | Scanned Research Paper | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/a31a06257031453a906fcd8c3e2bbb51.png?v=1) | `ev:adobe-api·scanned-research-paper·chart-retention` |
| Complex Document Handling | cross-scenario | ⚠ struggled | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/790f9221306f4bd98ec30e9c44908862.mp4?v=1) | `ev:adobe-api·cross·complex-document-handling` |
| Complex Document Handling | Scanned Research Paper | ◐ mixed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/790f9221306f4bd98ec30e9c44908862.mp4?v=1) | `ev:adobe-api·scanned-research-paper·complex-document-handling` |
| Complex Document Handling | Hybrid Earnings Report | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/d7e06b98fa094aa79a6e112f5f3d0d4b.mp4?v=1) | `ev:adobe-api·hybrid-earnings-report·complex-document-handling` |
| Complex Document Handling | Financial Report - Table Heavy | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/f337a17abeaf4981bfd14c1a8cf1af70.mp4?v=1) | `ev:adobe-api·financial-report-table-heavy·complex-document-handling` |
| Image retention | Hybrid Earnings Report | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/5dd6e0b5b03c475ca73ddc8672f3af69.png?v=1) | `ev:adobe-api·hybrid-earnings-report·image-retention` |
| Long/complex document handling | Scanned Research Paper | ⚠ struggled | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/research-media-scanned-research-pdf-pages-1-to-6-output-91af129cfedd.md) | `ev:adobe-api·scanned-research-paper·long-complex-document-handling` |
| Markdown Quality | cross-scenario | ◐ mixed | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/research-media-adobe-hybrid-earningspdf-output-9ecb3b89ddbf.md) | `ev:adobe-api·cross·markdown-quality` |
| Reading order & structure | Financial Report | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/8179f6f40950490f9ff13abb266b5574.png?v=1) | `ev:adobe-api·financial-report·reading-order-and-structure` |
| Reading order & structure | Scanned Research Paper | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/28052bbc164e4f51be6903dcaccdb477.png?v=1) | `ev:adobe-api·scanned-research-paper·reading-order-and-structure` |
| Reading Order & Structure | Financial Report - Table Heavy | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/8810958a319b4f6e85fb8175d400fa13.png?v=1) | `ev:adobe-api·financial-report-table-heavy·reading-order-structure` |
| Reading Order & Structure | Scanned Research Paper | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/28052bbc164e4f51be6903dcaccdb477.png?v=1) | `ev:adobe-api·scanned-research-paper·reading-order-structure` |
| Reading Order & Structure | Hybrid Earnings Report | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/8810958a319b4f6e85fb8175d400fa13.png?v=1) | `ev:adobe-api·hybrid-earnings-report·reading-order-structure` |
| Reading Order & Structure | Financial Report | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/8810958a319b4f6e85fb8175d400fa13.png?v=1) | `ev:adobe-api·financial-report·reading-order-structure` |
| Reading Order & Structure | Scanned Research Paper INT 1983-07 Issue 333 | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/28052bbc164e4f51be6903dcaccdb477.png?v=1) | `ev:adobe-api·scanned-research-paper-int-1983-07-issue-333·reading-order-structure` |
| Reading Order & Structure | Sumitomo Heavy Industries Consolidated Financial Report | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/8810958a319b4f6e85fb8175d400fa13.png?v=1) | `ev:adobe-api·sumitomo-heavy-industries-consolidated-financial-report·reading-order-structure` |
| Table Preservation | Scanned Research Paper | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/57a862fbcd21461ab376ee98f35f965b.png?v=1) | `ev:adobe-api·scanned-research-paper·table-preservation` |
| Table Preservation | Financial Report - Table Heavy | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/42af0b6a8200417588083a90fa79bbc7.png?v=1) | `ev:adobe-api·financial-report-table-heavy·table-preservation` |
| Table Preservation | Hybrid Earnings Report | ⚠ struggled | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/b2471a2784864cc6961e1d6da79d3d0d.png?v=1) | `ev:adobe-api·hybrid-earnings-report·table-preservation` |
| Table Preservation | Financial Report | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/42af0b6a8200417588083a90fa79bbc7.png?v=1) | `ev:adobe-api·financial-report·table-preservation` |
| Table Preservation | Target 2015 Annual Report | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/6596808a677a4687be77b6a950dfb62c.png?v=1) | `ev:adobe-api·target-2015-annual-report·table-preservation` |
| Table Preservation | Scanned Research Paper INT 1983-07 Issue 333 | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/6daa9c66b2694851bbf882f39eed1f1e.png?v=1) | `ev:adobe-api·scanned-research-paper-int-1983-07-issue-333·table-preservation` |
| Table Preservation | Sumitomo Heavy Industries Consolidated Financial Report | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/42af0b6a8200417588083a90fa79bbc7.png?v=1) | `ev:adobe-api·sumitomo-heavy-industries-consolidated-financial-report·table-preservation` |
| Table structure preservation | Financial Report | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/7e4a0f994215484c920ba868f35fcef4.png?v=1) | `ev:adobe-api·financial-report·table-structure-preservation` |
| Table structure preservation | Hybrid Earnings Report | ⚠ struggled | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/b2471a2784864cc6961e1d6da79d3d0d.png?v=1) | `ev:adobe-api·hybrid-earnings-report·table-structure-preservation` |
| Table structure preservation | Scanned Research Paper | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/6daa9c66b2694851bbf882f39eed1f1e.png?v=1) | `ev:adobe-api·scanned-research-paper·table-structure-preservation` |
| Text & OCR Completeness | Scanned Research Paper | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/28052bbc164e4f51be6903dcaccdb477.png?v=1) | `ev:adobe-api·scanned-research-paper·text-ocr-completeness` |
| Text & OCR Completeness | Hybrid Earnings Report | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/5dd6e0b5b03c475ca73ddc8672f3af69.png?v=1) | `ev:adobe-api·hybrid-earnings-report·text-ocr-completeness` |
| Text & OCR Completeness | Scanned Research Paper INT 1983-07 Issue 333 | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/28052bbc164e4f51be6903dcaccdb477.png?v=1) | `ev:adobe-api·scanned-research-paper-int-1983-07-issue-333·text-ocr-completeness` |
| Visual Content Retention | Scanned Research Paper | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/a31a06257031453a906fcd8c3e2bbb51.png?v=1) | `ev:adobe-api·scanned-research-paper·visual-content-retention` |
| Visual Content Retention | Hybrid Earnings Report | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/a4d1d8a84e6b45ed824e8fb54743f0c0.png?v=1) | `ev:adobe-api·hybrid-earnings-report·visual-content-retention` |
| Visual Content Retention | Scanned Research Paper INT 1983-07 Issue 333 | ✓ worked | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/a31a06257031453a906fcd8c3e2bbb51.png?v=1) | `ev:adobe-api·scanned-research-paper-int-1983-07-issue-333·visual-content-retention` |
| Visual Content Retention | Target 2015 Annual Report | ✗ failed | 🧾 [proof](https://cdn.futuresmart.ai/public/aidemos/5dd6e0b5b03c475ca73ddc8672f3af69.png?v=1) | `ev:adobe-api·target-2015-annual-report·visual-content-retention` |

> 🧾 = artifact-verified (proof captured) · 👁 = observed (noted, no artifact) · verdicts: worked / mixed / struggled / failed.

> **Strong at mixed PDF extraction, but not lossless on every structure type.**
>
> Adobe API is a solid hosted PDF-to-Markdown extractor for hybrid financial and scanned documents: it keeps many tables, charts, and scanned pages usable in output. The main caveats in this research were lost handwritten signatures, flattened TOC hierarchy, and weaker handling of dual-header tables or tables with intervening text.

## Demo Recording

[Video: Adobe API demo recording](https://t9014651757.p.clickup-attachments.com/t9014651757/861368e2-081c-47f7-a502-7801e5fce6d6/Adobe%20Parse.mp4?view=open)
*Video — Web-based Adobe PDF Extract demo showing upload, JSON/Markdown tabs, and structured extraction from a financial report.*

## Feature-by-Feature Breakdown

### PDF-to-Markdown Extraction

Converts uploaded PDFs into downloadable markdown, including complex reports and scanned pages. The hybrid earnings report, the table-heavy financial report, and both halves of the split scanned research paper all produced markdown outputs, with reading order preserved well enough to keep narrative text usable.

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> **File**

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**Bottom line:** A clean end-to-end export path for complex PDFs; the only workflow wrinkle was the web-demo size limit that forced the scanned paper to be split into two uploads.

### Table Reconstruction from PDFs

Rebuilds table structure into readable markdown, preserving rows, columns, values, and grouped financial summaries. It worked on the financial summary, quarterly balance sheet, and multilevel segment table, while also being tested on dual-header and vertically interrupted tables where alignment became less reliable.

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**Bottom line:** Good on conventional financial tables and grouped columns.

### Embedded Visual Preservation

Keeps charts and embedded images in the exported document instead of dropping them. In the hybrid earnings report, the financial highlights chart and segment-share graphics stayed embedded, and the scanned report output also preserved figure content.

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**Bottom line:** A clear strength: visuals stay with the document and are not silently lost.

## Is It Right For You?

**Use it if**
- You need a hosted API that returns Markdown from complex PDFs.
- Your documents mix tables, charts, and scanned pages.
- You want most regular financial tables to stay readable without manual cleanup.

**Skip it if**
- You need handwritten signature recognition.
- You need guaranteed TOC nesting in every document.
- Your tables rely on dual headers or intervening text and must be parsed flawlessly.

## Classification

- **Category:** developer-tools
- **Subcategory:** apis
- **Type:** text
- **Built for:** Other

## Frequently Asked Questions

**Q: Does Adobe API return Markdown directly?**

Yes. In this research, the hybrid earnings report, the table-heavy financial report, and both halves of the scanned research paper each produced downloadable markdown output files.

**Q: How well does it preserve financial tables?**

It kept standard financial tables readable, including the financial summary table, a quarterly balance sheet, and a grouped segment table. It was less reliable on a dual-header table, where header roles flattened.

**Q: Does it keep charts and images in the output?**

Yes. The hybrid earnings report retained embedded chart and image content, and the scanned report output also preserved a figure/chart element rather than dropping it.

**Q: Can Adobe API OCR scanned PDFs?**

Yes. The scanned research paper was converted into markdown, but the web demo rejected uploads over 1 MB, so the source had to be split into two files for testing.

**Q: Does it extract handwritten signatures?**

No. On the scanned signature page, the printed filing text remained, but the handwritten signatures were not recovered.

**Q: Does it preserve table-of-contents hierarchy?**

Not reliably in this research. The parsed table of contents flattened the nested entries into a simpler list instead of preserving the original indentation-based hierarchy.

## Similar Tools

AI tools similar to Adobe API:

- [LlamaParse](https://aidemos.com/tools/llamaparse) — Versatile PDF parsing for Markdown and structured JSON, with strong recovery but some fidelity drift
- [Landing AI](https://aidemos.com/tools/landing-ai) — Schema-guided PDF extraction for bank statements and invoices, with strong row capture and a few identifier QA caveats.
- [Mistral AI](https://aidemos.com/tools/mistral-ai) — A strong hosted PDF-to-markdown API for mixed and scanned documents, with solid OCR, table recovery, and asset export but uneven structural fidelity.
- [Upstage AI](https://aidemos.com/tools/upstage-ai) — Solid on native financial tables, but unreliable for multi-column and scanned-document structure in markdown conversion.
- [Extend AI](https://aidemos.com/tools/extend-ai) — Schema-driven extraction for finance PDFs that reconstructs nested JSON well, but still needs review for ordering, IDs, and a few scalar values.
- [Reducto](https://aidemos.com/tools/reducto) — Hosted PDF-to-Markdown plus schema extraction with citations; strong on invoices, mixed on tables and bank statements.

## Need a custom AI solution for this use case?

If you are looking to build a custom PDF extraction, document parsing, or structured data extraction system for your business or internal workflow, email us at [contact@futuresmart.ai](mailto:contact@futuresmart.ai).

### Found something inaccurate or missing?

We try to keep our AI research accurate and useful. If you found outdated information, an issue, or have a suggestion, email us at [collaborate@aidemos.com](mailto:collaborate@aidemos.com).