Reducto Studio

Reducto Studio

WebsiteContact for PricingAI Documents AssistantAI Data Mining
Reducto Studio is an end-to-end workspace for building and optimizing document pipelines with Reducto APIs, offering performance visibility, confidence-scored extractions with citations, and self-improving evaluation data.
https://studio.reducto.ai/?ref=producthunt
Reducto Studio

Product Information

Updated:Jun 27, 2025

What is Reducto Studio

Reducto Studio is a platform developed by Reducto AI that helps teams build, iterate, and perfect document processing pipelines interactively. As part of Reducto's document processing ecosystem, the Studio provides a comprehensive workspace for AI teams and companies to transform unstructured data like PDFs, images, and spreadsheets into structured data that can enhance products, gather insights, and create LLM pipelines. The platform is used by prominent companies including Scale AI, Vanta, and FAANG companies.

Key Features of Reducto Studio

Reducto Studio is an end-to-end workspace that helps teams build and optimize document processing pipelines using Reducto APIs. It provides interactive tools for testing, evaluating, and perfecting document extraction with features like performance visibility, confidence-scored extractions with citations, and self-improving evaluation data, enabling teams to ship production-ready solutions quickly.
Interactive Pipeline Building: Visual interface for building and iterating document processing workflows, allowing teams to test and optimize their pipelines interactively
Performance Analytics: Gain visibility into extraction performance with detailed metrics and confidence scores for all processed documents
Schema Definition: Create custom schemas to format extracted data according to specific requirements and ensure consistent output structure
Document Testing: Upload and test sample documents to verify extraction accuracy and optimize processing parameters before deployment

Use Cases of Reducto Studio

Financial Document Processing: Extract structured data from financial statements, invoices, and 10-K filings for analysis and compliance
Healthcare Records Management: Process and structure medical records and health documents for integration with healthcare systems
Insurance Claims Processing: Automate the extraction of information from insurance claims and related documents for faster processing
RAG Pipeline Development: Build and optimize retrieval-augmented generation pipelines by processing documents into LLM-ready formats

Pros

High accuracy in document processing and extraction
Comprehensive workspace for end-to-end pipeline development
Supports multiple document types including PDFs, images, Excel, and PowerPoint

Cons

Primarily targeted at enterprise clients with higher pricing
Some advanced features like human-in-the-loop support still in development

How to Use Reducto Studio

Sign up for Reducto Studio: Visit studio.reducto.ai and create a new account or sign in if you already have one. You can also use SSO authentication.
Get API Key: After signing up, obtain your API key. It's recommended to store it in a .env file using REDUCTO_API_KEY environment variable for security.
Upload Documents: Upload your unstructured documents (PDFs, Excel, PowerPoint, etc.) to Reducto Studio for processing.
Define Schema: Create a custom schema to specify how you want the extracted data to be structured in your desired format (JSON, CSV, etc.).
Configure Pipeline Settings: Set up your document pipeline by configuring extraction methods, chunking methods, and other processing parameters according to your needs.
Monitor Performance: Use Studio's evaluation tools to view raw parsed data, document-level metrics, and field-level evaluation scores. Check confidence scores and bounding box citations for extractions.
Iterate and Optimize: Use the evaluation scores and performance metrics to refine your schema and pipeline settings for better accuracy.
Deploy to Production: Once satisfied with the results, integrate Reducto's API into your production environment using the Python SDK or API endpoints.
Enable Logging (Optional): Set REDUCTO_LOG environment variable to 'info' to enable logging for better debugging and monitoring.

Reducto Studio FAQs

Reducto is an API that provides high quality data ingestion for large language models (LLMs), capable of parsing PDFs, Excel, PowerPoint, and other document formats into LLM-ready inputs.

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