Retab – AI-powered document automation for developers

Parse, validate, and structure PDFs, emails, and images with reliable AI. Simple SDKs. Production-ready.

Scale document operations with vision language models

Vision Language Models that can parse, edit, and split complex documents with human-level precision.

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BlocksAgent

Core

Input

End

Tools

Extract

Edit

Classifier

Parse

Split

Logic

Human in the Loop

If / Else

Reset DemoRun Workflow

We process millions of pages for teams from AI startups to Fortune 500 companies

+ many more

Workflow orchestration for document processing. Automate your operations with a comprehensive set of vision and text LLM tools⁠. Designed to work individually or together.

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Number of runs

128,694

Number of pages

1,286,940

Build complex document processing workflows - and run them at scale

Review queue

12 pending

Extracted document

low confidence

Total mismatch: extracted 12,089 vs computed total 13,109

Queue items

SLA 2h

INV-24810.47Needs review

PO-90920.38Needs review

KYC-11100.82Approved

CLAIM-2280.51Needs review

Assigned reviewers

ALMKSR

Open review

Remain in control with human-in-the-loop

Set up a workflow that reads a source PDF, uses borrower JSON and a short instruction, routes exceptions for review, and sends approved output to a webhook.

Great, I will draft the steps, connect the handoffs, and fill in the key settings for you.

Action: Add step

ok

Action: Connect steps

ok

Done. Settings are in place. Run a test batch, review outputs, and publish when the team is comfortable.

Turn ops playbooks into live workflows

account details

account number

balance summary

deposits

checks paid

Trace every extracted field to its source

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Quantify uncertainty with k-LLMs consensus

MODEL ROUTER

Choose the right model tier for each task

Accuracy

0.0%

(avg)

0.00%

100%91%85%79%

Run evals and ship with confidence

Tools for Modern AI Teams

Try for freeAPI documentation

Extract

Extract structured data from documents

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Parse

Parse documents into raw text

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Edit

Edit documents with AI

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Split

Split documents into pieces

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Classify

Classify documents by type

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The backbone of your document processing operations

99.9%

extraction accuracy across document types

500M+

documents processed by our platform

50+

supported document formats and types

<500ms

average API response time

User-friendly, developer-friendly.

Visual first

Build your own workflows with our visual workflow builder

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Developer first

Implement your own automations as code with our SDKs

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Copy

from retab import Retab

client = Retab()

completion = client.projects.extract(
    project_id="project_123",
    document="path/to/document.pdf",
)

Integrations

Publish as an API, integrate with n8n, Zapier, and more

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REST API

Webhook

REST API

Webhook

Dedicated Portal

Dedicated Portal

Modern Document Intelligence

State-of-the-art document automations for your product and operations.

	Retab	DIY LLMs	Old IDP
Preserves document layout
Understands document semantics		~
Handles format variations
High accuracy on complex docs		~
No per-template engineering
Cost efficient at scale
Interpretable outputs
Human-in-the-loop guardrails			~
Quick setup & iteration
Built-in benchmarking & evals

Enterprise ready security

Industry-leading document processing without compromising trust.

Read our Privacy Policy

Secure, private, and compliant. Always.

SOC2 Type II

HIPAA

CCPA

GDPR

• SOC2 Type II

• HIPAA

• CCPA

• GDPR

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