Production AI Resume Parser

Upload any resume (PDF, DOCX, DOC, TXT) to extract structured, validated JSON data using Google Gemini models.

Active Model: gemini-2.5-flash

📁

Drag & drop your resume file here

or click to browse file from your computer

PDF DOCX DOC TXT MAX 20MB

PDF

sample_resume.pdf

0 KB

Force Reparse (Ignore duplicate cache)

Model:

Processing Pipeline Active... 0.0s

File Upload

Text Extract

Gemini AI

Schema Validate

Saved to DB

⚡ Technical Skills

🤝 Soft Skills

🗣️ Languages

📄 Professional Summary

💼 Work Experience

🎓 Education

📜 Certifications

🚀 Projects

ℹ️ Additional Information

Parsing History

View, inspect, reparse, or export previous resume parsing runs.

ID	Filename	Status	Model Used	Size	Time	Date	Actions
Loading history...

Showing 0 of 0

System Settings & Model Configuration

Modify Gemini models, timeouts, prompt versions, and duplicate behavior dynamically without redeploying code.

🤖 Gemini Model Configuration

Default Gemini Model

Primary model used for ATS resume reasoning (e.g. gemini-2.5-flash).

Fallback Gemini Model

Model used if primary model experiences rate limits or downtime.

Temperature (0.0 to 1.0)

Lower temperature yields maximum deterministic JSON accuracy.

Max Output Tokens

Enable Multi-Key / Model Failover

⚙️ Document Pipeline & Duplicate Policy

Duplicate Upload Policy

Determined by SHA-256 content hash matching.

Multimodal Document Mode for Scanned PDFs

Maximum File Size (MB)

Allowed File Extensions

Prompt Template Version

Gemini API Key Management

Configure multiple Google Gemini API keys with AES-256 encryption, priority failover, and live connectivity testing.

ID	Label	Masked Key	Priority	Status	Requests	Last Used	Last Error	Actions
Loading API keys...