- DATA
- SEARCH
- MATCH
- HUMAN
Short answer
How can I turn resumes into structured data using my AI?
Your AI uses the parse_profile tool to read raw resume files and extract specific fields like contact info, skills, and work history. This turns unstructured documents into clean, organized profiles. Here is where that data lands.
The results.
Where the data lands.
The extraction process maps raw text to these specific outcomes.
DATA
Structured profiles
The AI extracts contact details, education, and experience. You get clean JSON or table-ready data instead of a pile of PDFs.
SEARCH
Filterable skills
Technical skills and competencies are pulled into dedicated fields. This makes it easy to search your database for specific requirements.
MATCH
Candidate scoring
The tool identifies key qualifications. You can then use these structured attributes to compare candidates against job descriptions.
HUMAN
Review queue
The AI flags ambiguous or missing information. You decide if the extracted data is accurate before it hits your production system.
The workflow
What your AI does when a resume arrives.
The AI handles the extraction so you don't have to manually type out candidate details.
Read the file
Your agent accesses the raw resume file and scans the entire document for relevant information.
parse_profileExtract entities
The AI identifies names, emails, phone numbers, and social links within the text.
parse_profileMap experience
The tool organizes employment history, dates, and job titles into a logical sequence.
parse_profileFormat output
The extracted data is converted into a structured format that matches your database schema.
parse_profile
Try it
Copy these to start.
Use these prompts to trigger the extraction process.
Starting points
These are opening lines. Swap out the bracketed text for your actual file paths or database names.
HrFlow.ai Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_I5AWktYKd6ZBeasEU5l62xtiXMSMlPPEd1gKq98S/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — HrFlow.ai capabilities are ready to use.
{
"mcpServers": {
"hrflowai-mcp": {
"url": "https://edge.vinkius.com/vk_preview_I5AWktYKd6ZBeasEU5l62xtiXMSMlPPEd1gKq98S/mcp"
}
}
}Use parse_profile to extract the contact info and skills from this resume: [file_path]
Parse the attached resume and format the work history as a JSON object for my database.
Look at the resume in [folder_name] and pull out all the technical skills listed.
Extract the education history from this file and check if they have a degree in Computer Science.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect HrFlow.ai once, then ask.
You only need to link your account once. Your credentials stay encrypted, and you can immediately start asking your AI to process files.
Connect HrFlow.ai to your AIFAQ
How the parsing behaves
- 01
Can the AI edit the original resume file?
No. The tool only reads the file to extract data; it does not modify the source document.
- 02
Does the AI automatically upload data to my ATS?
No. The AI extracts the data into a structured format, but you must decide how to move that data into your specific ATS or database.
- 03
What happens if a resume is a scanned image?
The tool relies on the text being readable. If the file is a low-quality scan without text recognition, the extraction will fail.
- 04
Can I customize which fields are extracted?
Yes. You can instruct your AI to only look for specific information, like just contact details or just specific certifications.
- 05
Will the AI delete any candidate records?
No. This tool is strictly for reading and parsing data. It has no capability to delete or overwrite your existing records.
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