Resume Parsing Platform

Intelligent Resume Parsing with OpenAI

Transform unstructured resumes into structured JSON with confidence scoring, evidence references, and async worker pipelines for scale

OpenAI Extraction
Confidence Scoring
Async Worker Pipeline
3-5 min
Parse Time per Resume
85-95%
Field Extraction Accuracy
100+
Concurrent Processing

Feature Overview

Comprehensive resume parsing platform with AI-powered extraction and enterprise-grade features

Core Features

  • Upload resumes in PDF, DOC, DOCX, and image formats
  • Extract text with layout hints and page attribution
  • OpenAI-powered structured JSON extraction
  • Confidence scoring for each extracted field
  • Evidence references back to source text
  • Async worker pipeline with retry logic
  • Single and bulk processing support
  • Idempotency with checksum-based deduplication

Advanced Features

  • Human review overlay without destroying AI output
  • Multi-tenant isolation with API key auth
  • OCR fallback for scanned documents
  • Field normalization and validation
  • Audit logging for compliance tracking
  • Token usage tracking for cost reporting
  • Job progress tracking with webhooks
  • Export to ATS-compatible formats

System Architecture

Distributed architecture with async workers, multi-tenant data isolation, and enterprise security

React Web App

Upload UI with drag-and-drop, job tracking dashboard, parsed profile viewer, and review editor

FastAPI Backend

RESTful APIs for upload, job management, parsing orchestration, and result retrieval with auth

Worker Service

Celery/RQ workers for async text extraction, LLM parsing, normalization, and retry handling

PostgreSQL

Stores documents, extractions, parses, jobs, reviews, and audit logs with tenant isolation

Object Storage

Local storage for DEV, S3 for PROD with signed URLs and least privilege IAM

Redis Queue

Message queue for async job distribution with retry logic and dead-letter handling

Processing Pipeline

Five-stage async pipeline from upload to structured candidate profile with full auditability

1. Upload & Validation

Validate file type and size, compute checksum, store in object storage, create document and job records

2. Text Extraction

Extract text from PDF/DOCX with layout hints, OCR fallback for images, persist structured text with page attribution

3. LLM Parsing

Build snippet registry, chunk by section for token control, OpenAI extraction to strict JSON schema with confidence

4. Normalization

Normalize emails, phones, URLs, standardize dates to ISO, dedupe skills, detect inconsistencies and overlaps

5. Storage & Audit

Persist parsed JSON with evidence, log token usage, update job status, trigger webhooks, enable human review

Data Model

Postgres schema with tenant isolation, audit logging, and structured JSON storage

documents

File metadata, storage URI, checksum, status, tenant isolation

id (uuid)
tenant_id
file_name
storage_uri
checksum_sha256
status
created_at

extractions

Raw and structured text from PDF/DOCX with extraction metadata

id
document_id
raw_text
structured_text_json
extraction_meta
created_at

parses

Structured candidate JSON with confidence, evidence, and warnings

id
document_id
parsed_json
confidence_json
evidence_json
warnings_json
model_meta

jobs

Async job tracking with status, progress, retry logic, and error handling

id
document_id
job_type
status
progress
error_code
started_at
finished_at

reviews

Human review overlay preserving original AI output with edit tracking

id
document_id
reviewer_id
status
edits_json
notes
reviewed_at

audit_logs

Compliance audit trail for all user actions and system events

id
actor_id
action
entity_type
entity_id
payload_json
correlation_id
created_at

Idempotency

Unique constraint on (tenant_id, checksum_sha256) enables cache hits for duplicate uploads

Multi-Tenant

All tables include tenant_id with row-level isolation and indexed queries

JSON Storage

JSONB columns for flexible schema evolution with PostgreSQL indexing support

Key Benefits

Transform your recruitment process with AI-powered automation and enterprise-grade reliability

10× Faster Processing

Automated extraction eliminates hours of manual data entry, processing 100+ resumes per hour with async workers

85-95% Accuracy

AI-powered extraction with confidence scoring and evidence references ensures high-quality structured data

Enterprise Security

Multi-tenant isolation, API key auth, audit logging, and encryption at rest meet compliance requirements

Scalable Architecture

Horizontal worker scaling with Redis queue, idempotency, and retry logic handles enterprise volume

Build Your Next Product With AI Expertise

Experience the future of software development. Let our GenAI platform accelerate your next project.

Schedule a Free AI Blueprint Session