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What is Documind?

Documind is an AI-powered document extraction platform that transforms unstructured documents into structured data. Whether you’re processing invoices, forms, receipts, or contracts, Documind uses advanced LLM models to extract information accurately and efficiently.

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Key Features

Multi-Model Extraction

Choose from Basic (single-model), VLM-based, or Advanced (multi-model ensemble) extraction modes for different accuracy and cost trade-offs.

Flexible Schemas

Define custom schemas, use predefined templates, or let Documind generate schemas automatically from sample documents.

Confidence Scoring

Every extracted field includes confidence scores. Low-confidence fields are automatically flagged for human review.

Review Workflow

Built-in review system enables human-in-the-loop validation for critical data, ensuring accuracy when it matters most.

Credit-Based Pricing

Transparent per-page pricing with different costs for each extraction mode. No surprises.

Developer-First API

RESTful API with comprehensive documentation, code examples, and SDKs for seamless integration.

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How Documind Works

1

Upload Documents

Upload PDF, Word, or image files to Documind. Each document receives a unique ID for tracking.
2

Define What to Extract

Specify the data you need using JSON Schema format. Use predefined schemas, generate from samples, or create custom ones.
3

Choose Extraction Mode

Select the extraction mode that fits your needs:
  • Basic: Fast single-model extraction
  • VLM: Vision-optimized for image-heavy documents
  • Advanced: Multi-model ensemble with confidence scoring
4

Get Structured Data

Receive extracted data as JSON with confidence scores. Low-confidence fields are flagged for review if using Advanced mode.
5

Review if Needed

For extractions flagged for review, humans verify and correct the data. Reviewed results replace initial extractions.

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Extraction Modes Comparison

FeatureBasicVLMAdvanced
SpeedFastestFastModerate
Cost per page2-6 credits10 credits15 credits
Confidence scoresNoNoYes
Review flaggingNoNoYes
Best forSimple documentsScanned imagesComplex forms
ModelsSingle (your choice)Multiple VLMsMulti-model ensemble

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Common Use Cases

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Invoice Processing

Extract line items, totals, vendor information, dates, and payment terms from invoices in any format.

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Form Digitization

Convert paper forms, applications, and surveys into structured database entries.

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Receipt Management

Pull amounts, merchants, dates, and categories from receipts for expense tracking.

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Contract Analysis

Extract key terms, parties, dates, and obligations from legal documents.

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Identity Verification

Extract information from IDs, passports, and verification documents.

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Architecture Overview

┌─────────────┐
│   Upload    │  POST /api/v1/upload
│  Documents  │  → Returns document_id(s)
└──────┬──────┘
       │
       ▼
┌─────────────┐
│   Extract   │  POST /api/v1/extract/{document_id}
│    Data     │  → Returns results + needs_review flag
└──────┬──────┘
       │
       ├──► needs_review = false
       │    ✓ Use results immediately
       │
       └──► needs_review = true
            ↓ Human reviews and corrects
            ↓ PUT /api/v1/review/{document_id}
            ↓
            ✓ Poll GET /api/v1/data/extractions?document_id=...
              until is_reviewed = true

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Getting Started

Quick Start

Get started with your first extraction in 5 minutes

Schema Design

Learn how to create effective extraction schemas

API Reference

Explore all available endpoints and parameters

Tutorials

Step-by-step tutorials for common use cases

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Next Steps

  1. Try the Quick Start Guide - Extract your first document in 5 minutes
  2. Explore Use Case Tutorials - Learn from real-world examples
  3. Design Effective Schemas - Master schema creation for better results
  4. Integrate with Your App - Build production-ready integrations