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Retab

Retab provides AI-powered document automation tools for developers to parse, validate, and structure data from PDFs, emails, and images. The platform offers vision and text LLM capabilities to build and orchestrate complex document processing workflows. Developers utilize simple SDKs and visual builders to extract fields, fill forms, and integrate automated document intelligence into production systems.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Extracting and processing data from diverse document formats is a labor-intensive and error-prone process for enterprises. Manual data entry and validation lead to significant operational overhead and delays in critical business workflows.

Solution

Retab offers a comprehensive developer platform and SDK designed for building advanced document processing automations leveraging large language models (LLMs). The platform facilitates the extraction of structured data from any document type, including PDFs, images, and scanned documents, through AI-driven labeling and intuitive schema design. Developers can integrate Retab's capabilities into their applications with minimal code, enabling automated data capture and validation. For enterprise clients, Retab provides secure, private, and compliant solutions that maintain data integrity and adhere to regulatory standards.

Target Audience

Primary customers are software developers and enterprise IT departments seeking to automate document data extraction and processing within their applications and business systems.

Features

  • AI-powered data extraction from various document formats (PDF, PNG, JPEG, TIFF).
  • Automated dataset labeling with multi-model consensus for high accuracy.
  • Schema Designer for defining custom data extraction fields and reusable schemas.
  • Drag-and-drop interface for ground truth table creation and review.
  • Source highlighting and reasoning traces to understand model output.
  • Prompt iteration and field-level reasoning for fine-tuning extraction logic.
  • Support for multiple LLM integrations, including GPT-5, Gemini 2.5 Pro, and Claude 4 Sonnet.
  • Tiered credit system for model usage, with options for Micro, Small, and Large models based on complexity and cost.
  • SOC 2 Type II, HIPAA, and CCPA compliance for enterprise-grade security.
  • SDK and API for seamless integration into existing workflows.
This profile is AI-generated and may contain inaccuracies.