---
title: "Hrflow"
type: "AI Tool"
url: "https://aidemos.com/tools/hrflow"
description: "Hands-on HrFlow review based on real testing. Explore resume parsing accuracy, API workflow, multi-column handling, phone extraction issues, and certification limitations."
category: "image-generator"
authors:
  - "Rugved"
lastVerified: "May 2026"
published: "2026-05-14T06:03:22.590Z"
updated: "2026-05-19T21:00:43.899Z"
---

# Hrflow

HrFlow Review: AI Resume Parsing API Tested (2026)

`Tested Hands-On` · `Resume Parser` · `Developer API` · `JSON Output` · `Fixed Schema`

## Testing History

| Use Case | Tested | Verdict |
| --- | --- | --- |
|  | May 2026 | Best / Works well |

> **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.

## Demo Recording

[Video: Hrflow demo recording](https://d3epheqghktydj.cloudfront.net/Hrflow%20tool%20demo)

## Feature-by-Feature Breakdown

### Clean Resume Parsing — 6/10

**Verdict:** 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.

**Input:** -1-clean-resume-rugved.pdf

[Pdf: -1-clean-resume-rugved.pdf](https://d3epheqghktydj.cloudfront.net/Hrflow%20input.1.pdf)

**Output:** Full JSON output — HrFlow parsing clean resume

[Pdf: Full JSON output — HrFlow parsing clean resume](https://d3epheqghktydj.cloudfront.net/hrflow%20output.1.txt)

**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 — 6/10

**Verdict:** 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.

**Input:** -2-multicolumn-resume-priya.pdf

[Pdf: -2-multicolumn-resume-priya.pdf](https://d3epheqghktydj.cloudfront.net/Hrflow%20Input.2.pdf)

**Output:** Full JSON output — HrFlow parsing multi-column resume

[Pdf: Full JSON output — HrFlow parsing multi-column resume](https://d3epheqghktydj.cloudfront.net/hrflow%20output.2.txt)

**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 — 5/10

**Verdict:** 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.

**Input:** -3-messy-resume-john.pdf

[Pdf: -3-messy-resume-john.pdf](https://d3epheqghktydj.cloudfront.net/Hrflow%20input.3.pdf)

**Output:** Full JSON output — HrFlow parsing messy resume

[Pdf: Full JSON output — HrFlow parsing messy resume](https://d3epheqghktydj.cloudfront.net/hrflow%20output.3.txt)

**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.

## Pricing & Access

| Plan | Price | Notes |
| --- | --- | --- |
| Free (tested) | $0 | 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

| Rank | Use Case | Notes |
| --- | --- | --- |
| #4 | Parse resumes into structured data using an API | Adequate — core fields covered but phone truncation, lowercase output, and missing certifications require post-processing |

## Classification

- **Category:** image-generator
- **Subcategory:** text-to-image
- **Type:** text

## Frequently Asked Questions

**Q: Does HrFlow require API setup or does it have a UI upload tool?**

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.

**Q: Does HrFlow extract certifications from resumes?**

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.

**Q: Why are all skills and names returned in lowercase?**

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.

**Q: Is the phone number extraction reliable in HrFlow?**

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.

## Similar Tools

AI tools similar to Hrflow:

- [Affinda](https://aidemos.com/tools/affinda) — Affinda Review: AI Resume Parser Tested Across Resume Formats (2026)
- [Airparser](https://aidemos.com/tools/airparser) — Airparser Review: GPT-Powered Resume Parser Tested (2026)
- [LlamaParse](https://aidemos.com/tools/llamaparse) — LlamaParse Review: AI Resume Parser & Schema Extraction Tested (2026)
- [Hireability](https://aidemos.com/tools/hireability) — HireAbility Review: Resume Parsing API for Structured Data Extraction Tested (2026)
- [Extracta Labs](https://aidemos.com/tools/extracta-labs) — Extracta.ai Review: AI Resume Parser & Custom Field Extraction Tested (2026)