Reducto
Reducto is an enterprise-grade agentic document platform designed for AI teams that need to convert complex documents into structured, usable data. The platform provides a comprehensive suite of APIs for parsing, extracting, splitting, and editing documents, enabling businesses to integrate document intelligence directly into their workflows. It is used by a range of organizations, from startups to Fortune 10 companies, to unlock data hidden in PDFs, forms, invoices, and other file types. At the core of Reducto is its new r-1 parsing model, which reads documents with near-human understanding, accurately capturing intricate layouts, tables, and formatting. The model provides bounding-box citations for traceability and reviews/corrects outputs in real time, delivering reliable results even on edge cases. Reducto's APIs are available for Python and Node.js, making it easy for developers to embed document processing into their applications. The platform also offers specialized endpoints for structured extraction (e.g., pulling invoice fields), document splitting (separating multi-document files), and form editing (filling detected blanks and checkboxes). With a focus on enterprise performance and scalability, Reducto positions itself as a one-stop solution for every document task in AI pipelines.
- Category
- AI Document Extraction
- Pricing
- Unknown
Problem solved
Reducto solves the challenge of extracting accurate, structured data from complex and varied documents at scale. It replaces brittle multi-tool document pipelines with a single platform that handles parsing, extraction, splitting, and form editing, giving AI teams reliable, reviewable results without manual pre-processing.
Use cases
- Parsing invoices and receipts into structured data
- Extracting specific fields from onboarding forms and financial disclosures
- Splitting multi-document PDFs into individual units for downstream processing
- Automating data entry by filling detected blanks and checkboxes
- Building RAG pipelines over complex enterprise documents
- Processing large volumes of contracts and legal documents for AI analysis
Audience
- Developers
- ML Engineers
- Data Scientists
- Enterprise
- Startups
Pros
- High accuracy with bounding-box citations for traceability
- Real-time review and correction of outputs
- Cost-effective API at 1 cent per page for r-1 model
- Supports complex layouts and edge cases
- Serves enterprise performance at scale
Cons
- Proprietary service; no self-hosted edition
- Pricing is not transparent or publicly listed
- Dependent on internet connectivity for API access
- May require additional data privacy review for sensitive documents
- Limited to supported document formats and templates
Official website: https://reducto.ai/
Canonical LambdaBase page: https://www.lambdabase.com/tools/reducto