Also known as: Reducto AI, Reducto
AI-powered API for parsing complex unstructured documents into structured data optimized for LLMs and vector databases.
Unstructured documents like PDFs and spreadsheets are difficult to parse accurately, hindering reliable data ingestion into LLMs and vector databases for AI workflows.
Unstructured documents like PDFs and spreadsheets are difficult to parse accurately, hindering reliable data ingestion into LLMs and vector databases for AI workflows.
Combines layout-aware computer vision, vision-language models, and Agentic OCR to convert complex documents into precise, structured data with human-like accuracy.
Combines layout-aware computer vision, vision-language models, and Agentic OCR to convert complex documents into precise, structured data with human-like accuracy.
Appears active as of October 2025 based on Series B funding announcement and company website.
Appears active as of October 2025 based on Series B funding announcement and company website.
Reducto delivers a high-accuracy API for transforming unstructured documents into structured data ready for large language models. Based in San Francisco, the platform addresses challenges in document ingestion by combining traditional computer vision with advanced vision-language models.
Reducto employs layout-aware models to visually decompose documents, identifying regions, tables, figures, and text blocks. Vision-language models then interpret these elements in context, linking labels to values and classifying content accurately. An Agentic OCR framework reviews outputs, detects errors, and applies corrections through multi-pass processing, mimicking human editing for superior reliability on complex files like PDFs, Excel spreadsheets, and PowerPoint slides.[1]
Reducto delivers a high-accuracy API for transforming unstructured documents into structured data ready for large language models. Based in San Francisco, the platform addresses challenges in document ingestion by combining traditional computer vision with advanced vision-language models.
Reducto employs layout-aware models to visually decompose documents, identifying regions, tables, figures, and text blocks. Vision-language models then interpret these elements in context, linking labels to values and classifying content accurately. An Agentic OCR framework reviews outputs, detects errors, and applies corrections through multi-pass processing, mimicking human editing for superior reliability on complex files like PDFs, Excel spreadsheets, and PowerPoint slides.[1]
Total Raised: $108M
Last Round: Series B ($75M, Oct 2025, led by Andreessen Horowitz)
Total Raised: $108M
Last Round: Series B ($75M, Oct 2025, led by Andreessen Horowitz)
API subscription with usage-based pricing and flexible plans for enterprises and startups
API subscription with usage-based pricing and flexible plans for enterprises and startups
AI teams, financial institutions, Fortune 10 enterprises, startups like Scale AI
AI teams, financial institutions, Fortune 10 enterprises, startups like Scale AI
Series B funding announced October 2025
Hiring: unknown
Series B funding announced October 2025
Hiring: unknown
The Agentic OCR framework represents a key advancement, automatically catching and fixing parsing mistakes to achieve near-perfect accuracy on challenging documents. Reducto also optimizes costs by discounting simpler pages without compromising fidelity. Beyond parsing, the platform supports document splitting, intelligent classification, and structured extraction, enabling end-to-end pipelines for production-grade AI applications.[3][4]
The Agentic OCR framework represents a key advancement, automatically catching and fixing parsing mistakes to achieve near-perfect accuracy on challenging documents. Reducto also optimizes costs by discounting simpler pages without compromising fidelity. Beyond parsing, the platform supports document splitting, intelligent classification, and structured extraction, enabling end-to-end pipelines for production-grade AI applications.[3][4]
Reducto offers a straightforward API alongside Reducto Studio, an interactive workspace for building, evaluating, and deploying data pipelines. Features include 99.9%+ uptime, enterprise support with SLAs, SOC2 and HIPAA compliance, and options for self-deployment in customer environments. These capabilities ensure scalability and security for sensitive data processing.[2][4]
Reducto offers a straightforward API alongside Reducto Studio, an interactive workspace for building, evaluating, and deploying data pipelines. Features include 99.9%+ uptime, enterprise support with SLAs, SOC2 and HIPAA compliance, and options for self-deployment in customer environments. These capabilities ensure scalability and security for sensitive data processing.[2][4]
Designed for AI teams and enterprises, Reducto powers retrieval-augmented generation workflows by making human-generated data LLM-ready. It handles complex structures such as equations and tables, supporting industries like finance, healthcare, tech, and legal. The platform processes diverse file types with precise bounding boxes for consistent results.[1][2][3]
Designed for AI teams and enterprises, Reducto powers retrieval-augmented generation workflows by making human-generated data LLM-ready. It handles complex structures such as equations and tables, supporting industries like finance, healthcare, tech, and legal. The platform processes diverse file types with precise bounding boxes for consistent results.[1][2][3]
Reducto continues to expand its offerings, integrating parsing with comprehensive workflows. Recent updates focus on cost efficiency and accuracy improvements, positioning the platform as a foundational tool for unlocking unstructured data in AI systems. Available information highlights its role in facilitating AI reasoning over real-world documents.[1][2][3]
Reducto continues to expand its offerings, integrating parsing with comprehensive workflows. Recent updates focus on cost efficiency and accuracy improvements, positioning the platform as a foundational tool for unlocking unstructured data in AI systems. Available information highlights its role in facilitating AI reasoning over real-world documents.[1][2][3]
Reducto stands out for its focus on production reliability, serving needs from startups to large enterprises. By prioritizing accuracy and scalability, it eliminates the need for multiple parsing tools, streamlining data preparation for advanced AI applications.[4]
Reducto stands out for its focus on production reliability, serving needs from startups to large enterprises. By prioritizing accuracy and scalability, it eliminates the need for multiple parsing tools, streamlining data preparation for advanced AI applications.[4]
