Reducto
Mindee
DocParser
Parseflow.tech
mdstill
Willow Compliance
ProofPudding.ai
ScanRead.ai
ReactDemos.com
Our platform provides a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.
We are built for enterprise workloads with flexible deployment options from the cloud to fully air-gapped environments, SOC II and HIPAA compliance, and zero data retention.
Reducto is trusted by leading AI teams at companies like Harvey, Scale AI, Toast, Carlyle and Vanta.
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Reducto's answer
Reducto is the only agentic document platform that orchestrates custom in-house and frontier models under the hood, automatically routing each page to the right model based on complexity. That means we balance accuracy, latency, and throughput for your specific use case โ not a one-size-fits-all pipeline.
Where others stop at parsing or extraction, we cover the full lifecycle of document work โ parse, classify, split, extract, edit, and workflow orchestration โ in one platform. The result: 99%+ accuracy on the long-tail documents (handwriting, complex tables, scanned PDFs, charts) that break other solutions, with grounded outputs (bounding boxes, citations, confidence scores) so your team can trust what comes out.
Reducto's answer
Performance for you, not for a benchmark. Competitor benchmarks are biased. Reducto encourages head-to-head evaluations on your own documents โ and consistently wins on accuracy, robustness, and the long tail (tables, charts, handwriting, scans). We're not the cheapest; we're the most optimal, automatically balancing accuracy, latency, and throughput for your workload.
Enterprise-ready from day one. Flexible deployment from cloud to hybrid VPC to fully air-gapped, SOC 2 and HIPAA compliance, zero data retention, autoscaling for spiky loads, and white-glove FDE support with custom SLAs. We've processed billions of pages and counting.
One complete platform instead of a stitched-together stack. Parse, Classify, Split, Extract, and Edit endpoints โ plus a Workflows product, agent-ready tooling (CLI, MCP, integrations), and 30+ supported data and file types. Stop maintaining four vendors for one document pipeline.
Reducto's answer
Our primary audience is technical leaders at AI-native companies and document-heavy enterprises โ CTOs, VPs of Engineering, Heads of AI/ML, and Chief AI Officers โ who own AI and platform strategy and are accountable for shipping production AI on messy real-world data. Our champions and end users are the AI engineers, ML engineers, data engineers, and AI platform engineers who actually build on top of Reducto.
We see the strongest fit in regulated, document-heavy industries: financial services, fintech, insurance, healthcare, and legal โ plus the AI-native companies serving them. The common thread: they process large volumes of unstructured documents (often millions of pages a month), they care about accuracy and throughput at production scale, and they have engineering teams that would otherwise burn cycles building and maintaining OCR, parsers, and extraction pipelines themselves.
Reducto's answer
Reducto was founded by Adit Abraham (CEO) and Raunak Chowdhuri (CTO) on a simple observation: modern AI models are exceptional at reasoning, but they're only as good as the data fed into them โ and most real-world data lives in messy, unstructured documents. PDFs, scans, handwritten forms, complex tables, charts. The "odd structure of documents" was breaking otherwise capable AI systems.
So they took a different approach: treat document ingestion as a computer vision problem, not a text problem. By combining traditional CV models with vision-language models in an agentic orchestration layer, Reducto reads documents the way a human would โ interpreting layout, structure, and visual cues before extracting meaning.
What started as a parsing engine has grown into a complete agentic document platform โ powering document workflows for the largest AI teams in the world, with billions of pages processed and counting.
Reducto's answer
Based on our record, Reducto seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Key to this was software from AI document-management company Reducto, which shared an office building with Kino AI. In another oversubscribed session, developer relations lead Palak Agarwal, explained how the advanced nature of the companyโs code enabled a comprehensive scan of the messy PDF files and organization of the information gleaned into a usable format. - Source: dev.to / 2 months ago
Yes! We used our friends at Reducto (https://reducto.ai/ to see what I mean. For apps like Jmail and JFlights we use their structured extraction endpoint insteadโyou define a schema (e.g. {from, to, subject, date, body} for emails or {departure_airport, arrival_airport, passengers[], date} for flights) and it pulls those fields directly into JSON. The JFlights example served as the best ad for Reducto and how doc... - Source: Hacker News / 8 months ago
Mindee - Extract any data point, from any document, in a second
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
Parseflow.tech - Evidence first, PDF and DOCX parsing API. Structured JSON, no enterprise setup.
mdstill - Document-to-markdown preprocessor built for LLM and RAG workflows. Turn any document (PDF, Word, Excel, EPUB +20 formats) into clean, structure-preserving markdown ready for ChatGPT, Claude, Gemini, or your RAG pipeline.Includes REST API.Free to use
Willow Compliance - Streamline healthcare compliance with Willowโs healthcare compliance softwareโ across ACQS, NDIS, NSQHS, CQC and more. No double entry.
ProofPudding.ai - The highest accuracy document extraction for your AI. Drop a document. Ask anything. Get accurate answers, with sources.
