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Hrflow

HrFlow Review: AI Resume Parsing API Tested (2026)

Tested Hands-OnResume ParserDeveloper APIJSON OutputFixed SchemaLast verified May 2026

Our take

HrFlow is a developer-first API resume parser with solid coverage on core fields like contact info, work experience, education, and languages across all resume formats. It requires API integration rather than a UI-based upload, making it suited for engineering teams building recruitment pipelines rather than non-technical users. However three consistent weaknesses across all inputs — phone number truncation, all-lowercase output, and unreliable certification extraction — mean significant post-processing is needed before data can be used in production. Free trial available via API signup.

In-Depth Review

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

Rugved

AI Demos Team

Verified Review

Feature-by-Feature Breakdown

We tested each feature individually. Click any card to see inputs, outputs, and our observations.

Clean Resume Parsing

core fields extracted but phone truncated and skills all lowercase

6/10

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Test Summary

Feature tested: Clean Resume Parsing

Result: Passed (6/10) — core fields extracted but phone truncated and skills all lowercase

HrFlow accepts a standard single-column PDF resume via API and extracts core fields including name, email, location, work experience with responsibilities, education, languages, and a flat skills list. Output is returned as structured JSON via API response. No template or schema setup needed but developer must set up the API call — there is no drag-and-drop UI.

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Hrflow input.1.pdf

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hrflow output.1.txt

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Bottom Line

Good coverage on core fields but with notable quality issues. 29 skills extracted including all major technical skills. Both work experiences captured with correct titles, companies, and date ranges. Main weaknesses are phone number severely truncated to "9198765" instead of "+91-98765-00000", all skills and name returned in lowercase, certifications not extracted as a dedicated field but appearing as noise skill fragments ("ai - ibm", "coursera"), CGPA not captured, and LinkedIn URL missing entirely.

Multi-Column Resume Parsing

Moderate — languages from sidebar captured but phone truncation and noise skills persist

6/10

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Test Summary

Feature tested: Multi-Column Resume Parsing

Result: Passed (6/10) — Moderate — languages from sidebar captured but phone truncation and noise skills persist

HrFlow handles multi-column PDF layouts via API without crashing or requiring layout hints. Core fields from both columns are extracted but quality issues from Input 1 persist and new issues appear with noise skill entries and certification misclassification.

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Hrflow Input.2.pdf

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hrflow output.2.txt

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Bottom Line

Moderate result on multi-column layout. Languages from the right sidebar (English, Hindi, Marathi) extracted correctly. Job title headline extracted correctly. Phone number again truncated — "+9198765" instead of "+91-98765-43210" — same truncation failure as Input 1. Skills list contains significant noise entries — "parse 500", "real-time sales forecasting dashboard", "aws lambda + s3" incorrectly tagged as skills. TensorFlow Developer Certificate misclassified as an education entry. AWS Certified Developer certification not extracted at all. CGPA, LinkedIn URL, and projects all missing from schema.

Messy Resume Parsing

Moderate — education and phone complete but soft skills and certifications entirely missing

5/10

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Test Summary

Feature tested: Messy Resume Parsing

Result: Passed (5/10) — Moderate — education and phone complete but soft skills and certifications entirely missing

HrFlow handles messy resume formatting via API without crashing. Non-standard date formats handled correctly. All 3 education levels extracted. Phone number was complete on this input unlike the previous two though formatting differs from the source.

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Hrflow input.3.pdf

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hrflow output.3.txt

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Bottom Line

Moderate result on messy resume. Phone number complete on this input but without hyphen separator. All 3 education entries extracted correctly. Objective statement captured in brief field. However only 10 of 14 skills extracted — soft skills (good communication, team player, fast learner, problem solving) entirely missing. Certifications not extracted at all. Tasks extracted with noise — "Pune" bled into task description. Work responsibilities for both roles incomplete.

Frequently Asked Questions

Pricing & Access

TESTED

Free

Up to 1,000 requests per month per API, full API documentation, community support — sufficient for testing and prototyping

Essentials

no commitment

100 free requests then billed monthly. Profile Parsing API at €0.10 per request, Text Parsing API at €0.05 per request, Tagging API at €0.01 per request. Email and chat support included. All APIs included

HrTech+

Custom — billed annually

Volume and committed-use discounts (Profile Parsing from €0.07/req), OEM and white-label options, onboarding and training, CSM and solutions engineers. For established software vendors

Staffing+

Custom — billed annually

Everything in HrTech+ plus dedicated infrastructure, custom SLA and TOS, executive roadmap briefings. For large employers and recruiting firms

Pricing checked May 2026. We re-check quarterly. HrFlow pricing is in Euros. Visit hrflow.ai for current plans and volume pricing.

Is This Right For You?

A side-by-side guide based on our hands-on testing.

✓ Use This If

●You are a developer or engineering team building a recruitment API pipeline

●You need a REST API integration rather than a UI-based upload tool

●Your use case primarily needs work experience, education, and language extraction

●You have post-processing in place to handle casing normalisation and phone formatting

●You need multi-language resume support across 50+ languages

✕ Skip This If

●You need accurate phone number extraction without truncation — this failed on 2 out of 3 inputs tested

●You need certifications extracted as a dedicated structured field

●You need skill names returned with correct casing (FastAPI not fastapi, TensorFlow not tensorflow)

●You need CGPA or grade scores extracted from education entries

●You need LinkedIn URL or projects captured in the output

●You are a non-technical user who needs a UI-based tool — HrFlow requires API setup

Use Case Track Record

Parse resumes into structured data using an API

Adequate — core fields covered but phone truncation, lowercase output, and missing certifications require post-processing

Featured in Rankings

Independent rankings where Hrflow was tested and rated.

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HrFlow is a developer-first tool. Testing and production use require setting up an API call — there is no drag-and-drop UI for resume upload. This makes it well suited for engineering teams building integrations but not suitable for non-technical users who need a simple upload interface.

Not reliably. Across all 3 inputs tested, HrFlow had no dedicated certifications field in its schema. On Input 1 certifications appeared as fragmented noise skill entries. On Input 2 one certification was misclassified as an education entry and the other was not extracted at all. On Input 3 no certifications were extracted. This is a consistent gap compared to Affinda and Airparser which both captured certifications correctly.

HrFlow normalises all text values to lowercase in its output — names, skills, and other string fields lose their original casing. For example "FastAPI" is returned as "fastapi" and "Rugved Nichite" as "rugved nichite". This requires a post-processing step to restore proper casing before the data can be displayed in any user-facing system.

No — phone extraction failed on 2 out of 3 inputs tested. On Input 1 the number was truncated to "9198765" instead of "+91-98765-00000" and on Input 2 to "+9198765" instead of "+91-98765-43210". On Input 3 the full number was returned but without the hyphen separator. Phone truncation is a critical contact field failure for any production recruitment use case.