HrFlow background
The HR-Native LLM for Profiles & Jobs

Asking API

The Asking API is an HR-tuned LLM (CvGPT & JobGPT) that infers insights and generates content from any CV, resume, or job description. Get format-constrained, deterministic outputs (numbers, booleans, formatted dates, arrays) ready to power your automated HR workflows without prompt engineering.

100% HR-native
43+ languages
Formatted outputs
GDPR-ready & EU AI Act
99.99% uptime
output.json
{
  "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

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API RESPONSE

Output Data: Format-Constrained Insights for HR Automation

Get precise, deterministic insights and generated content from any CV or job. Force constraints like Plain Text, Booleans, Formatted Dates, or JSON Lists to enrich your single source of truth. No JSON drift. No hallucinations. Only deterministic output values.

Select Asking Type

Upload a resume or CV + a text prompt → returns a text insight.

Top Insights Formats

Plain Text

e.g., summaries, explanations, inclusive rewrites, resume templating, reference checks, outreach/follow-up/rejection emails, “why this fits” reasoning.

Boolean

e.g., “Is speaking French mandatory?” → “Yes”.

Single string

e.g., “Paris, France”, “Bachelor’s degree”, “fast”, “Order Preparers”.

Numerical

e.g., “What is the average salary…?” → 1175

Formatted Date

You can force formatting in the prompt: “(DD-MM-YYYY)” → 12-11-2023.

JSON List

[“Full-time”, “Temporary”, “Fixed-term contract”]

Defaulted value

e.g., if you specify (default: n/a) it can return that

response.json
 1{
 2  "code": 200,
 3  "message": "Asking completed successfully.",
 4  "data": {
 5    "model": "cvgpt-v1",
 6    "prompt": "What is the candidate's latest job title?",
 7    "answer": "Senior Data Scientist",
 8    "format": "single_string",
 9    "confidence": 0.96,
10    "profile": {
11      "key": "abc123",
12      "info": {
13        "first_name": "Sarah",
14        "last_name": "Chen"
15      }
16    }
17  }
18}
INTERACTIVE SANDBOX

Try & Install the Asking API

Test the API in real-time with your own documents. Get production-ready code in seconds.

API Playground

Interactive testing environment

PostmanCollection
1

Parsing Type

2

API Token

3

Run

Input

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.

Response
JSON
{
  "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"]
  }
}
CUSTOMER STORIES

Don't take our word for it!

Trusted by fast-growing HR Tech and Global Enterprise

No more hallucinations and slow queries

vs. OpenAI/Gemini
Before HrFlow.ai

Token costs exploded, JSON drift broke our automations, and hallucinations created compliance risk in candidate communication.

After HrFlow.ai

HrFlow.ai Asking gave us an HR-native model with compliant generation patterns, format-constrained outputs, and the guardrails we needed for GDPR and EU AI Act alignment.

No more self-hosting burden

vs. Open-source LLMs
Before HrFlow.ai

Open-source LLMs slowed us down. We spent more time maintaining infrastructure than shipping HR features.

After HrFlow.ai

HrFlow.ai Asking gave us a managed API with stable outputs and guardrails so our team could focus on product.

Finally: HR-native prompting

vs. Gemini
Before HrFlow.ai

We spent weeks tuning prompts and still got inconsistent answers.

After HrFlow.ai

HrFlow.ai Asking understands HR prompt intent out of the box. We ship screening, outreach, and interview-kit workflows without building a prompt engineering team.

No more hallucinations and slow queries

vs. OpenAI/Gemini
Before HrFlow.ai

Token costs exploded, JSON drift broke our automations, and hallucinations created compliance risk in candidate communication.

After HrFlow.ai

HrFlow.ai Asking gave us an HR-native model with compliant generation patterns, format-constrained outputs, and the guardrails we needed for GDPR and EU AI Act alignment.

No more self-hosting burden

vs. Open-source LLMs
Before HrFlow.ai

Open-source LLMs slowed us down. We spent more time maintaining infrastructure than shipping HR features.

After HrFlow.ai

HrFlow.ai Asking gave us a managed API with stable outputs and guardrails so our team could focus on product.

Finally: HR-native prompting

vs. Gemini
Before HrFlow.ai

We spent weeks tuning prompts and still got inconsistent answers.

After HrFlow.ai

HrFlow.ai Asking understands HR prompt intent out of the box. We ship screening, outreach, and interview-kit workflows without building a prompt engineering team.

No more hallucinations and slow queries

vs. OpenAI/Gemini
Before HrFlow.ai

Token costs exploded, JSON drift broke our automations, and hallucinations created compliance risk in candidate communication.

After HrFlow.ai

HrFlow.ai Asking gave us an HR-native model with compliant generation patterns, format-constrained outputs, and the guardrails we needed for GDPR and EU AI Act alignment.

No more self-hosting burden

vs. Open-source LLMs
Before HrFlow.ai

Open-source LLMs slowed us down. We spent more time maintaining infrastructure than shipping HR features.

After HrFlow.ai

HrFlow.ai Asking gave us a managed API with stable outputs and guardrails so our team could focus on product.

Finally: HR-native prompting

vs. Gemini
Before HrFlow.ai

We spent weeks tuning prompts and still got inconsistent answers.

After HrFlow.ai

HrFlow.ai Asking understands HR prompt intent out of the box. We ship screening, outreach, and interview-kit workflows without building a prompt engineering team.

No more hallucinations and slow queries

vs. OpenAI/Gemini
Before HrFlow.ai

Token costs exploded, JSON drift broke our automations, and hallucinations created compliance risk in candidate communication.

After HrFlow.ai

HrFlow.ai Asking gave us an HR-native model with compliant generation patterns, format-constrained outputs, and the guardrails we needed for GDPR and EU AI Act alignment.

No more self-hosting burden

vs. Open-source LLMs
Before HrFlow.ai

Open-source LLMs slowed us down. We spent more time maintaining infrastructure than shipping HR features.

After HrFlow.ai

HrFlow.ai Asking gave us a managed API with stable outputs and guardrails so our team could focus on product.

Finally: HR-native prompting

vs. Gemini
Before HrFlow.ai

We spent weeks tuning prompts and still got inconsistent answers.

After HrFlow.ai

HrFlow.ai Asking understands HR prompt intent out of the box. We ship screening, outreach, and interview-kit workflows without building a prompt engineering team.

Finally: workflow-ready outputs

vs. Mistral
Before HrFlow.ai

Mistral gave us strong raw generation, but output stability was a constant fight.

After HrFlow.ai

HrFlow.ai Asking returns structured, predictable outputs that plug straight into our pipelines and UI.

No more prompt-injection surprises

vs. Open-source LLMs
Before HrFlow.ai

Self-hosted open-source LLMs were a maintenance and security headache. Prompt injection and uncontrolled generation created a real risk.

After HrFlow.ai

HrFlow.ai Asking gave us a managed API, HR guardrails, and consistent responses we can trust in production.

Finally: compliance-ready HR GenAI

vs. DeepSeek
Before HrFlow.ai

DeepSeek was impressive technically, but it wasn't built for hiring compliance. We needed GDPR-grade controls and HR guardrails to avoid risky generations.

After HrFlow.ai

HrFlow.ai Asking gave us an HR-native model with compliant generation patterns and the operational assurances we needed to deploy in production.

Finally: workflow-ready outputs

vs. Mistral
Before HrFlow.ai

Mistral gave us strong raw generation, but output stability was a constant fight.

After HrFlow.ai

HrFlow.ai Asking returns structured, predictable outputs that plug straight into our pipelines and UI.

No more prompt-injection surprises

vs. Open-source LLMs
Before HrFlow.ai

Self-hosted open-source LLMs were a maintenance and security headache. Prompt injection and uncontrolled generation created a real risk.

After HrFlow.ai

HrFlow.ai Asking gave us a managed API, HR guardrails, and consistent responses we can trust in production.

Finally: compliance-ready HR GenAI

vs. DeepSeek
Before HrFlow.ai

DeepSeek was impressive technically, but it wasn't built for hiring compliance. We needed GDPR-grade controls and HR guardrails to avoid risky generations.

After HrFlow.ai

HrFlow.ai Asking gave us an HR-native model with compliant generation patterns and the operational assurances we needed to deploy in production.

Finally: workflow-ready outputs

vs. Mistral
Before HrFlow.ai

Mistral gave us strong raw generation, but output stability was a constant fight.

After HrFlow.ai

HrFlow.ai Asking returns structured, predictable outputs that plug straight into our pipelines and UI.

No more prompt-injection surprises

vs. Open-source LLMs
Before HrFlow.ai

Self-hosted open-source LLMs were a maintenance and security headache. Prompt injection and uncontrolled generation created a real risk.

After HrFlow.ai

HrFlow.ai Asking gave us a managed API, HR guardrails, and consistent responses we can trust in production.

Finally: compliance-ready HR GenAI

vs. DeepSeek
Before HrFlow.ai

DeepSeek was impressive technically, but it wasn't built for hiring compliance. We needed GDPR-grade controls and HR guardrails to avoid risky generations.

After HrFlow.ai

HrFlow.ai Asking gave us an HR-native model with compliant generation patterns and the operational assurances we needed to deploy in production.

Finally: workflow-ready outputs

vs. Mistral
Before HrFlow.ai

Mistral gave us strong raw generation, but output stability was a constant fight.

After HrFlow.ai

HrFlow.ai Asking returns structured, predictable outputs that plug straight into our pipelines and UI.

No more prompt-injection surprises

vs. Open-source LLMs
Before HrFlow.ai

Self-hosted open-source LLMs were a maintenance and security headache. Prompt injection and uncontrolled generation created a real risk.

After HrFlow.ai

HrFlow.ai Asking gave us a managed API, HR guardrails, and consistent responses we can trust in production.

Finally: compliance-ready HR GenAI

vs. DeepSeek
Before HrFlow.ai

DeepSeek was impressive technically, but it wasn't built for hiring compliance. We needed GDPR-grade controls and HR guardrails to avoid risky generations.

After HrFlow.ai

HrFlow.ai Asking gave us an HR-native model with compliant generation patterns and the operational assurances we needed to deploy in production.

🔗 INTEGRATIONS

Works with the tools you use

Integrate 200+ tools with the flip of a switch.

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HrFlow.ai Data Studio

HrFlow.ai Data Studio

HR-native ETL with 200+ connectors plus Webhooks to ingest, normalise, and sync jobs & profiles across your stack—reliable pipelines with unified schemas.

Zapier ETL

Zapier ETL

No-code automation platform with 8,000+ app integrations to move data between tools using triggers + actions.

Make.com ETL

Make.com ETL

Visual automation platform to extract/transform/route data across 3,000+ apps (plus HTTP modules for any API).

Microsoft Flow ETL

Microsoft Flow ETL

Microsoft Power Automate—workflow automation with 1,000+ API connectors (and support for custom connectors).

Workato ETL

Workato ETL

Enterprise iPaaS/automation platform with 1,200+ pre-built connectors for orchestrating integrations and data workflows at scale.

Salesforce Flow Automation

Salesforce Flow Automation

Salesforce's low-code workflow automation tool; extended via AppExchange with 7,000+ apps to add integrations and capabilities.

🚀 KEY FEATURES

HR-Optimized LLM for Profiles & Jobs

HrFlow.ai Asking is an HR-native LLM (not a generic LLM) trained on HR datasets to answer recruiting questions with the right tone, terminology, and reliability, on resumes, CVs, and job descriptions in 43+ languages. It extracts explicit data, infers implicit insights, generates HR content, and returns format-constrained outputs you can store, automate, or power RAG and agent workflows.

Tutorial Video3:45

🔒 ENTERPRISE-READY

Trust & Security

Built for sensitive HR data—secure by default, enterprise-ready.

01

Encryption

TLS in transit + encryption at rest to protect documents and extracted data.

02

Retention control

Minimal storage by default, with configurable retention policies to match your compliance needs.

03

AI-Act / GDPR / DPA ready

Built for sensitive HR data—secure by default, enterprise-ready. AI Act– and GDPR-ready processing, with documented controls for data handling and compliance.

04

Location / Region

Data processing and storage can be aligned with your required region (e.g., EU or US) depending on your deployment.

📊 FEATURE COMPARISON

HrFlow.ai Asking is the most accurate and safest LLM API for HR Data

Feature
HrFlow.ai Asking
HrFlow.ai Asking
OpenAI/Gemini
OpenAI/Gemini
OpenAI/Gemini
Mistral
Mistral
DeepSeek
DeepSeek
LLMs
Other Open-Source LLMs
Deployment & Trust
Headquarters
🇫🇷 France
🇺🇸 USA
🇫🇷 France
🇨🇳 China
config
🇺🇸 USA & 🇪🇺 EU Servers
Built-in
config
config
GDPR / AI-Act
By design
config
config
HR Compliance (Safety & Guardrails)
Built-in
Pretraining Data
HQ HR Data
Noisy & Biased Web Data
Noisy & Biased Web Data
Noisy & Biased Web Data
Noisy & Biased Web Data
HR-Focused
HR-tuned
Input Security (Prompt injection)
Unified output object (JSON drift)
Deterministic output values (hallucination)
Pricing model
per request (predictable)
per input+output tokens (expensive)
per input+output tokens (expensive)
per input+output token (expensive)
per hour
Speed (avg response / 1 page resume)
~2s
~4s
~5s
~7s
>10s
Speed (avg response / avg job)
~1s
~3s
~4s
~9s
>10s
DevOps burden (production scale)
Lowest
High
High
High
Extreme
Deployment model
Managed API/SaaS
Managed API
Managed API/SaaS
Managed API / SaaS / Self-host
Self-host
Core Technology
Multilingual
43 lang
40 lang
40 lang
Unknown
Unknown
HR zero-config (maintenance burden)
HR Prompting
By design
Labor Market data
Built-in
config
Format-constrained Output
Built-in
config
config
config
config
HR Stack integrations (add-ons)
Resume, CV, Job parsers
add-on (Parsing API)
Config
Config
Config
Config
HR data enrichment & taxonomies
Built-in (Linking/Tagging APIs)
RAG & Agentic Pipelines
add-on (Embedding API & Scoring API)
Search Engine Add-on
add-on (Searching API)
Recommender System Add-on
add-on (Scoring API)
Jobboards / ATS / HCM / HRIS connectors
200+ connectors (Data Studio)
Candidate & Recruiter UI
Widgets (App Studio)
❓ COMMON QUESTIONS

Frequently Asked Questions

Everything you need to know about the Asking API

🧩 COMPLETE API SUITE

Go beyond the Asking API

Our APIs are designed to complement each other and unlock your data's full potential

Full Extraction API Suite

Transform HR documents into structured, enriched Talent & Workforce Data — powering every layer of Hiring Intelligence.

API Overview
94%82%71%58%

Ranking API Suite

Unlock Hiring Superintelligence at scale — with transparent, fair, and explainable ranking across every Talent signal.

API Overview

GET STARTED

Ready to transform your HR data?

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.

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