Projects
Deploy document extraction pipelines in minutes
Define your data structure visually or with code. Our AI-powered schema builder helps you create robust extraction templates that handle any document format with precision.
Precision
Define exact field types and validation rules.
Speed
Generate schemas from samples in seconds.
Scale
Handle millions of documents reliably.
Effortless setup
If you can think it, Retab can do it. Share simple chat instructions with our built-in AI agent as you design your ideal pipeline.
Easy updates
Deploy your schema to production with a single click. No infrastructure setup or complex deployment processes required.
Features
Reimagining Document Processing with LLMs
Extract data from any file type
Excel, PDF, emails, scans, flipped pages... we've thought about every edge case so you don't have to.
Document uploaded
14:09
Document uploaded
Initiating OCR
Converting to Markdown and Images
Agentic OCR
Auto-fixing OCR errors
Ready to extract!
Agent that learns and optimizes
Retab's AI agent learns from you and your documents, iterates on extraction strategies (models, schema prompts, chunking, etc.) to achieve the best results.
40%
Accuracy
Built to be interpretable
See reasoning traces, uncertainty scores, and sources for each prediction.
Vendor Name
Invoice Date
Total Amount
Due Date
Line Items
Route each document to the right model
Continuous benchmarking picks the best model for each document based on your accuracy and latency goals.
Built-in human fallbacks
Define validation criteria and deploy a portal for human operators to review extractions that need validation.
Office Chairs × 25$3,750.00
Desks × 10$4,500.00
Monitors × 15$3,750.00
Sum of line items:$12,000.00
Check Amount:
$11,500.00
Mismatch detected. Routed to human operator for review.
Evaluate performance on your dataset
Evaluate and compare performance across different iterations on your dataset. Labeling a dataset takes minutes.
| File Name | Type | Vendor | Amount |
|---|---|---|---|
Extract data from any file type
Excel, PDF, emails, scans, flipped pages... we've thought about every edge case so you don't have to.
Document uploaded
14:09
Document uploaded
Initiating OCR
Converting to Markdown and Images
Agentic OCR
Auto-fixing OCR errors
Ready to extract!
Agent that learns and optimizes
Retab's AI agent learns from you and your documents, iterates on extraction strategies (models, schema prompts, chunking, etc.) to achieve the best results.
40%
Accuracy
Built to be interpretable
See reasoning traces, uncertainty scores, and sources for each prediction.
Vendor Name
Invoice Date
Total Amount
Due Date
Line Items
Route each document to the right model
Continuous benchmarking picks the best model for each document based on your accuracy and latency goals.
Built-in human fallbacks
Define validation criteria and deploy a portal for human operators to review extractions that need validation.
Office Chairs × 25$3,750.00
Desks × 10$4,500.00
Monitors × 15$3,750.00
Sum of line items:$12,000.00
Check Amount:
$11,500.00
Mismatch detected. Routed to human operator for review.
Evaluate performance on your dataset
Evaluate and compare performance across different iterations on your dataset. Labeling a dataset takes minutes.
| File Name | Type | Vendor | Amount |
|---|---|---|---|
How it works
Lightning-quick deployment
Day 1
Analyze & Structure
Upload documents. AI identifies patterns and generates the optimal data schema.
Day 6
Evaluate & Refine
Build evaluations against your test set. Iterate on edge cases until perfection.
Day 12
Deploy & Scale
Go live with human-in-the-loop validation and scale confidently.
Multiple views, one source of truth.
Review extracted data your way. Edit fields in a form, analyze results in a table, or export structured JSON for your pipeline.
Evals
Deploy in production with confidence
Introducing Evals. A new way to evaluate your pipelines with rigor. Run evals continuously to drive measurable improvements with each iteration.
Build datasets effortlessly
Create, review, and refine your training data with an intuitive interface. Edit records inline, validate extractions, and build high-quality datasets in minutes.
Measure and iterate
Track accuracy across every field, identify weak spots, and refine your prompts. Run evals continuously to drive measurable improvements with each iteration.
bank_name
100%
client_name
100%
statement_date
100%
account_number
95%
transactions.date
92%
ending_balance
90%
starting_balance
90%
transactions.amount
88%
transactions.transaction_type
85%
transactions.description
78%
bank_name
100%
client_name
100%
statement_date
100%
account_number
95%
transactions.date
92%
ending_balance
90%
starting_balance
90%
transactions.amount
88%
transactions.transaction_type
85%
transactions.description
78%