
The Parsing API converts the most complex resumes, CVs, and job descriptions into structured Talent & Workforce Data. Extract 60+ data points from PDF, DOCX, PNG, JPEG, and more, across 43+ languages with deterministic accuracy and blazing speed.
{ "parsing": { "model": "hrflow-file-v2.1", "confidence": 0.92, }, "profile": { "name": "John Smith", "title": "Data Scientist", "skills": ["ML", "Python"] } }
Trusted by Customers, Partners & the AI Ecosystem

Get clean, structured, normalized JSON you can store, search, score, and route anywhere.
No JSON drift. No hallucinations. Only deterministic output values.
Personal Info
name, email, phone, picture, etc.
Experience
companies, jobs, dates, tasks, etc.
Education
schools, degrees, dates, tasks, etc.
Skills
hard-skills, soft-skills, certifications, etc.
Location
geopoints, addresses, cities, countries
1{
2 "parsing": {
3 "model": "hrflow-resume-v2.1",
4 "confidence": 0.95
5 },
6 "profile": {
7 "info": {
8 "first_name": "Sarah",
9 "last_name": "Chen",
10 "email": "sarah@example.com"
11 },
12 "education": [{
13 "school": "MIT",
14 "degree": "M.S. Computer Science"
15 }],
16 "experiences": [{
17 "company": "Google",
18 "title": "Senior Engineer"
19 }],
20 "skills": ["Python", "ML", "React"]
21 }
22}Pick the right HR-native model version for your needs—balancing use case, speed, precision, and cost.
Relative accuracy grade (A highest) based on internal evaluation.
Typical p95 latency per request (varies by document size).
| Module | Algorithm | Data | Use Case | Speed | Precision | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Parsing | QuickSilver | CVResumeJobText | Blazing-fast parsing for immediate user experiences. Best for: clean resumes and well-structured job descriptions. | 500ms | C- | ||||||
| Parsing | Hawk | CVResume | Balances speed with precision. Best for: parsing scanned resumes and complex layout design. | 1.5s | C | ||||||
| Parsing | Atlas | CVResumeJob Text | Precision-focused, prioritizing accuracy over speed. Best for: scans, images, complex layouts and multipage documents. | 3s | B | ||||||
| Parsing | Chronos | CVResume | Most capable parsing model. Best for: complex multi-page resumes, nested work experiences, scans, and images. | 5s | A | ||||||
Test the API in real-time with your own documents. Get production-ready code in seconds.
Interactive testing environment
Upload a resume to parse
PDF, Word, or Image - Maximum size: 10 MB.
Enter your API token or sign in to try the parsing demo.
{
"profile": {
"info": {
"first_name": "John",
"last_name": "Smith",
"email": "john@example.com"
},
"experiences": [{
"company": "TechCorp",
"title": "Senior Engineer",
"location": "San Francisco"
}],
"skills": ["Python", "ML", "NLP"]
}
}Trusted by fast-growing HR Tech and Global Enterprise
+30s response time per resume, costs exploded, JSON drift broke our pipelines, and we had to deal with hallucinations.
HrFlow.ai gave us deterministic parsing, a stable schema, and hands-on support to meet our GDPR and EU AI Act goals.
Textkernel felt like a 'configure forever' parser: mapping rules, edge cases, and still inconsistent outputs.
HrFlow.ai just worked: unified profile object, better work experience parsing, and no weeks lost tuning ontologies.
Affinda's accuracy wasn't strong enough for our matching engine—especially experience, location, and education.
HrFlow.ai improved parsing results and saved us months by providing HR-native connectors and a recommendation system we planned to build in-house.
+30s response time per resume, costs exploded, JSON drift broke our pipelines, and we had to deal with hallucinations.
HrFlow.ai gave us deterministic parsing, a stable schema, and hands-on support to meet our GDPR and EU AI Act goals.
Textkernel felt like a 'configure forever' parser: mapping rules, edge cases, and still inconsistent outputs.
HrFlow.ai just worked: unified profile object, better work experience parsing, and no weeks lost tuning ontologies.
Affinda's accuracy wasn't strong enough for our matching engine—especially experience, location, and education.
HrFlow.ai improved parsing results and saved us months by providing HR-native connectors and a recommendation system we planned to build in-house.
+30s response time per resume, costs exploded, JSON drift broke our pipelines, and we had to deal with hallucinations.
HrFlow.ai gave us deterministic parsing, a stable schema, and hands-on support to meet our GDPR and EU AI Act goals.
Textkernel felt like a 'configure forever' parser: mapping rules, edge cases, and still inconsistent outputs.
HrFlow.ai just worked: unified profile object, better work experience parsing, and no weeks lost tuning ontologies.
Affinda's accuracy wasn't strong enough for our matching engine—especially experience, location, and education.
HrFlow.ai improved parsing results and saved us months by providing HR-native connectors and a recommendation system we planned to build in-house.
+30s response time per resume, costs exploded, JSON drift broke our pipelines, and we had to deal with hallucinations.
HrFlow.ai gave us deterministic parsing, a stable schema, and hands-on support to meet our GDPR and EU AI Act goals.
Textkernel felt like a 'configure forever' parser: mapping rules, edge cases, and still inconsistent outputs.
HrFlow.ai just worked: unified profile object, better work experience parsing, and no weeks lost tuning ontologies.
Affinda's accuracy wasn't strong enough for our matching engine—especially experience, location, and education.
HrFlow.ai improved parsing results and saved us months by providing HR-native connectors and a recommendation system we planned to build in-house.
RChilli's location and education extraction was too noisy for our ranking workflows.
HrFlow.ai improved those core fields and delivered a unified, deterministic Profile object at scale.
DaXtra couldn't handle real-world inputs—scans, weird layouts, mixed attachments.
HrFlow.ai's vision preprocessing + layout parsing raised accuracy and cut latency without manual cleanup.
Sovren was stuck in rules and ontologies—modern resumes kept breaking it.
HrFlow.ai's semantic + layout parsing stabilized results and halved our manual review.
RChilli's location and education extraction was too noisy for our ranking workflows.
HrFlow.ai improved those core fields and delivered a unified, deterministic Profile object at scale.
DaXtra couldn't handle real-world inputs—scans, weird layouts, mixed attachments.
HrFlow.ai's vision preprocessing + layout parsing raised accuracy and cut latency without manual cleanup.
Sovren was stuck in rules and ontologies—modern resumes kept breaking it.
HrFlow.ai's semantic + layout parsing stabilized results and halved our manual review.
RChilli's location and education extraction was too noisy for our ranking workflows.
HrFlow.ai improved those core fields and delivered a unified, deterministic Profile object at scale.
DaXtra couldn't handle real-world inputs—scans, weird layouts, mixed attachments.
HrFlow.ai's vision preprocessing + layout parsing raised accuracy and cut latency without manual cleanup.
Sovren was stuck in rules and ontologies—modern resumes kept breaking it.
HrFlow.ai's semantic + layout parsing stabilized results and halved our manual review.
RChilli's location and education extraction was too noisy for our ranking workflows.
HrFlow.ai improved those core fields and delivered a unified, deterministic Profile object at scale.
DaXtra couldn't handle real-world inputs—scans, weird layouts, mixed attachments.
HrFlow.ai's vision preprocessing + layout parsing raised accuracy and cut latency without manual cleanup.
Sovren was stuck in rules and ontologies—modern resumes kept breaking it.
HrFlow.ai's semantic + layout parsing stabilized results and halved our manual review.
Integrate 200+ tools with the flip of a switch.
















































HR-native ETL with 200+ connectors plus Webhooks to ingest, normalise, and sync jobs & profiles across your stack—reliable pipelines with unified schemas.
No-code automation platform with 8,000+ app integrations to move data between tools using triggers + actions.
Visual automation platform to extract/transform/route data across 3,000+ apps (plus HTTP modules for any API).
Microsoft Power Automate—workflow automation with 1,000+ API connectors (and support for custom connectors).
Enterprise iPaaS/automation platform with 1,200+ pre-built connectors for orchestrating integrations and data workflows at scale.
Salesforce's low-code workflow automation tool; extended via AppExchange with 7,000+ apps to add integrations and capabilities.
HrFlow.ai Parsing combines cutting-edge Deep Computer Vision and Deep Natural Language Processing to turn the most complex, noisy documents (resumes, CVs, jobs, interview notes, HR files) into clean, structured data with high accuracy, low latency, and production-grade scalability.
Built for sensitive HR data—secure by default, enterprise-ready.
TLS in transit + encryption at rest to protect documents and extracted data.
Minimal storage by default, with configurable retention policies to match your compliance needs.
Built for sensitive HR data—secure by default, enterprise-ready. AI Act– and GDPR-ready processing, with documented controls for data handling and compliance.
Data processing and storage can be aligned with your required region (e.g., EU or US) depending on your deployment.
| Feature | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Deployment & Trust | |||||||||||||||||
| Foundation | 2016 | 2015 | 2012 | 2001 | 2010 | 2002 | 1999 | 1996 | |||||||||
| Headquarters | 🇫🇷 France | 🇺🇸 USA | 🇦🇺 Australia | 🇳🇱 Netherlands | 🇮🇳 India | 🇬🇧 UK | 🇺🇸 USA | 🇺🇸 USA | |||||||||
| 🇺🇸 USA & 🇪🇺 EU Servers | Built-in | config | config | Built-in | Built-in | ||||||||||||
| GDPR / AI-Act | By design | By design | By design | ||||||||||||||
| HR Compliance (Safety & Guardrails) | Built-in | Built-in | Built-in | Built-in | Built-in | Built-in | Built-in | ||||||||||
| Pretraining Data | HQ HR Data | Noisy & Biased Web Data | HR Data | HQ HR Data | HQ HR Data | HQ HR Data | HR Data | HR Data | |||||||||
| HR-Focused | |||||||||||||||||
| Input Security (Prompt injection) | |||||||||||||||||
| Unified output object (JSON drift) | |||||||||||||||||
| Deterministic output values (hallucination) | |||||||||||||||||
| Pricing model | per CV | per input+output tokens (expensive) | per page (unpredictable) | per cv | per cv | per cv | per cv | per cv | |||||||||
| Speed (avg response / 1 page resume) | 500ms (QuickSilver) | 25s to 45s | 6.6s | 11.25s | 8.66s | 5.33s | 4.8s | 4.2s | |||||||||
| Speed (avg response / avg job) | 100ms (QuickSilver) | >8s | ~3s | ~3s | ~3s | ~2s | ~2s | ~2s | |||||||||
| Core Technology | |||||||||||||||||
| Technology | Deep Computer Vision / Deep NLP / LLM / VLM | LLM / VLM | Deep Computer Vision / Deep NLP | Deep NLP / Heuristics / Static Ontologies | Deep NLP / Heuristics / Static Ontologies | Rules / Heuristics / Static Ontologies | Rules / Heuristics / Static Ontologies | Rules / Heuristics / Static Ontologies | |||||||||
| Multilingual | 43 lang | 40 lang | 56 lang | 29 lang | 31 lang | 23 lang | 30 lang | 12 lang | |||||||||
| webhooks + async batch | |||||||||||||||||
| Semantic Parsing | |||||||||||||||||
| Picture Parsing | |||||||||||||||||
| Contact Info accuracy (Name, Email, Location, Phone) | 94.26% | ~96% (hallucination risk) | 90.95% | 86.02% | 90.55% | 84.87% | 80.30% | 78.68% | |||||||||
| Location Accuracy (Info, Work, Edu) | 67.36% | ~70% (hallucination risk) | 60.18% | 31.16% | 54.22% | 44.69% | 40.12% | 40.12% | |||||||||
| Dates Accuracy (Birth, Work, Edu) | 90.92% | ~93% (hallucination risk) | 68.31% | 69.10% | 71.01% | 76.40% | 69.14% | 64.57% | |||||||||
| Work Experience Accuracy | 93.30% | ~92% (hallucination risk) | 82.67% | 83.37% | 80.83% | 76.26% | 71.69% | ||||||||||
| Education Accuracy | 88.59% | ~90% (hallucination risk) | 71.13% | 63.23% | 62.88% | 59.88% | 55.31% | 50.74% | |||||||||
| Titles, Skills, Certifications, Languages Normalization | Built-in (Tagging API) | ||||||||||||||||
| Tasks Parsing | Built-in | Config (prompt) | |||||||||||||||
| Geocoding (lat, lon, etc.) | Built-in (Geocoding API) | ||||||||||||||||
| Document Layout Analysis | |||||||||||||||||
| Text OCR | Built-in (HR tuned) | Built-in | Built-in | add-on | add-on | add-on | |||||||||||
| Formats supported | Word, PDF, Image, 200+ formats | Word, PDF, Image | Word, PDF, Image | Mostly Docs | Mostly Docs | Mostly Docs | Only Docs | Only Docs | |||||||||
| Document Vision preprocessing (crop/deskew/denoise/boost) | |||||||||||||||||
| Text OCR auto-routing | |||||||||||||||||
| Page Orientation auto-rotate | |||||||||||||||||
| Distortion / perspective correction | |||||||||||||||||
| Document classification (resume vs cover letter vs other) | |||||||||||||||||
| Document splitting (multi-page → multiple profiles) | Config (prompt) | ||||||||||||||||
| HR Stack integrations (add-ons) | |||||||||||||||||
| HR data enrichment & taxonomies | Built-in (Linking/Tagging/Asking APIs) | Config (Mapping) | |||||||||||||||
| Dropzone UI | Connector (Data Studio) | ||||||||||||||||
| Browser Extension | Connector (Data Studio) | ||||||||||||||||
| Search Engine Add-on | Built-in (Searching API) | ||||||||||||||||
| Recommender System Add-on | Built-in (Scoring API) | ||||||||||||||||
| Jobboards / ATS / HCM / HRIS connectors | 200+ connectors (Data Studio) | ||||||||||||||||
| Candidate & Recruiter UI | Widgets (App Studio) | ||||||||||||||||
Everything you need to know about the Parsing API
Our APIs are designed to complement each other and unlock your data's full potential
Transform HR documents into structured, enriched Talent & Workforce Data — powering every layer of Hiring Intelligence.
API OverviewUnlock Hiring Superintelligence at scale — with transparent, fair, and explainable ranking across every Talent signal.
API Overview
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Start parsing resumes and job postings in minutes with our powerful API.
HrFlow.ai is an API-first company and the leading AI-powered HR data automation platform.
The company helps +1000 customers (HR software vendors, Staffing agencies, large employers, and headhunting firms) to thrive in a high-volume and high-frequency labor market.
The platform provides a complete and fully integrated suite of HR data processing products based on the analysis of hundreds of millions of career paths worldwide -- such as Parsing API, Tagging API, Embedding API, Searching API, Scoring API, and Upskilling API. It also offers a catalog of +200 connectors to build custom scenarios that can automate any business logic.