Reducto AI

Reducto AI

Agentic document platform for AI teams to extract and edit data at scale

78/100Safe BetFree · from $0.015/credit after first 15KFreemium

Reducto delivers on its promise of near-perfect document extraction for complex layouts, tables, and handwriting. Its agentic OCR and smart schemas genuinely set it apart from AWS Textract or Google Doc AI. But it's expensive at scale and unnecessary for simple, clean PDFs—those are better served by Tesseract or open-source parsers.

Verified 8d ago · liveness 78/100 · cite: rightaichoice.com/tools/reducto-ai

Best for
  • Finance teams extracting data from investor decks, SEC filings, and dense tables
  • Healthcare organizations processing patient forms and handwritten notes
  • Legal teams parsing contracts and multi-page legal documents
  • AI startups building RAG pipelines requiring accurate document chunking
Not ideal for
  • Simple text extraction from clean digital PDFs (overkill and more expensive)
  • Real-time streaming document processing (batch-oriented, no low-latency guarantees)
  • Teams needing fully open-source or self-hosted solutions (only Enterprise offers on-prem)
Visit Website

AdvancedFor a developer, you can make your first API call within 5 minutes using the quickstart. Visual pipeline setup via Studio takes about an hour to configure and test. Enterprise deployments with VPC may take a few weeks to set up with the team.API · WebAPI available4.3k viewsVerified 8d ago
Pricing
Free · from $0.015/credit after first 15K
FreemiumFree tier4 plans4 hidden costs
Learning curve
Advanced
For a developer, you can make your first API call within 5 minutes using the quickstart. Visual pipeline setup via Studio takes about an hour to configure and test. Enterprise deployments with VPC may take a few weeks to set up with the team.
Runs on
APIWeb
API available · 2 integrations
Who it's for
Data engineer at a fintech startupHealthcare operations leadAI engineer building a legal RAG system
Live sentiment
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Skip it if

Skip Reducto if you only need basic text extraction from clean, digital PDFs—open-source or cheaper tools like Tesseract or standard parsers will do the job without the cost.

The 30-second take
Biggest gripe

Going past the 15K free credits adds $0.015 per credit, which can get expensive at high volume.

Price reality

Reducto's pricing fits teams that need high accuracy on complex documents and are willing to pay per credit, but for simple PDFs, cheaper alternatives like Tesseract or even built-in AI features in cloud providers offer better value. Compared to AWS Textract which has volume-based tiers, Reducto's credits can be more costly for straightforward text extraction.

In short

Reducto AI — Agentic document platform for AI teams to extract and edit data at scale. Best for Finance teams extracting data from investor decks, SEC filings, and dense tables, Healthcare organizations processing patient forms and handwritten notes, Legal teams parsing contracts and multi-page legal documents. Free to start; paid plans from $0.01515/mo.

What's new in Reducto AI

Checked 3 days ago

Across the latest 10 updates: 4 feature updates, 1 launch, 2 community discussions and 3 news mentions.

NewsBlog·14 days agoNewest

Reducto Deep Extract Leads Benchmark on Complex Document Extraction

Independent benchmark by micro1 ranks Reducto Deep Extract first on complex, high-field-count document extraction.

NewsBlog·25 days ago

Built to Scale: How Doe Automated Over 8 Million Agent Tasks with Reducto

Case study: Doe uses Reducto to handle complex document work at scale, completing 8M+ agent tasks.

DiscussionBlog·26 days ago

Deep Extract vs. Frontier Models vs. Humans: Tradeoffs for Long Structured Extraction

Analysis: Deep Extract trades higher cost for near-perfect accuracy on long, high-stakes documents vs manual review.

NewsBlog·Jun 30

Reducto Deep Extract Leads Benchmark on Complex Document Extraction

Reducto Deep Extract ranked first in micro1's independent benchmark on difficult, high-field-count extraction workloads.

FeatureBlog·Jun 16

Reducto Raises Frontier Model Accuracy on GDP.pdf

Adding Reducto structured parse lifts frontier model macro accuracy by 9pp on GDP.pdf, cuts reasoning tokens 13%.

DiscussionBlog·Jun 11

What is an Agentic Document Platform?

Explains agentic document platforms and how they differ from previous IDP and OCR solutions.

FeatureBlog·Jun 8

Build your first document workflow with Reducto

Tutorial: quick steps to build a document feature or integrate Reducto into existing workflows.

FeatureBlog·Jun 8

Parsing the 10-K: why financial filings defeat standard PDF pipelines

Tutorial: financial RAG pipelines fail before model runs; shows where parsers lose structure and how to fix it.

FeatureBlog·Jun 3

Deep Split: Utilizing Agent Harnesses for Accuracy at Scale

New version of split for longer documents and workflows with large numbers of categories.

LaunchBlog·May 21

Announcing Reducto’s Classify Endpoint: Route Documents Before Processing

New Classification endpoint for fast, lightweight document categorization before downstream work.

Viability Score

78/100
Safe Bet

How well maintained and how widely used is Reducto AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
not measured
Site health
95
User sentiment
not measured
What the vendor publishes
60

Last calculated: August 2026

How we score →

Key Features

  • Agentic OCR with real-time error correction
  • Deep Extract for structured field-level extraction
  • Smart Schema for autonomous schema creation
  • Classify endpoint for document routing
  • Deep Split for long documents and multi-category workflows
  • Layout-aware parsing (tables, forms, graphs, handwriting)
  • Multilingual parsing across 100+ languages
  • OCR for low-quality scans and handwritten content
  • Dynamic editing of fillable elements without templates
  • Support for 30+ file types: PDF, images, spreadsheets, presentations, text
  • LLM-optimized chunking and embedding optimization
  • Figure summarization and graph extraction
  • VLM spreadsheet table clustering
  • Automatic page rotation correction
  • Preservation of bounding boxes and structural metadata

About Reducto AI

FreemiumAdvancedAPI availableAPI · Web

Reducto is an agentic document platform designed for AI teams that need to convert complex, messy documents into structured data with near-perfect accuracy. It combines OCR, vision-language models, and intelligent heuristics to handle challenging elements like tables, handwritten forms, and multi-page files that traditional tools often miss. Trusted by teams at Harvey, Scale AI, and Newfront, Reducto has processed over five billion pages across finance, healthcare, insurance, and legal sectors. Its multi-pass agentic system first uses layout-aware models to capture visual regions, then applies VLMs to correct errors and interpret context—delivering reliable extraction even from low-quality scans. Core capabilities include Agentic OCR for real-time error correction, Deep Extract for field-level structured data, Smart Schema for automatic context-aware schema creation, and a new Classify endpoint that routes documents by type before processing. Deep Split handles long documents with multi-category workflows, and multilingual parsing supports 100+ languages. Recent benchmarks show Deep Extract leading independent evaluations on complex document extraction, and Reducto has demonstrated a 9 percentage point accuracy gain on frontier models parsing professional documents like GDP.pdf with 13% fewer reasoning tokens. The platform integrates with AWS Marketplace and Databricks. Compared to alternatives, Reducto offers higher accuracy on complex, varied documents through its agentic approach, but it's overkill for simple text extraction from clean digital PDFs where cheaper or open-source tools suffice.

Behind the Verdict

Reducto is a serious tool for teams where document accuracy is non-negotiable. The agentic OCR, which reviews and corrects outputs in real-time, is a genuine differentiator. We've seen it handle messy tables and handwriting that stumbles AWS Textract or Google Document AI. Pick Reducto when your documents are complex—dense tables, handwritten forms, multi-page legal contracts—and you need structured data with minimal errors. The Deep Extract endpoint is especially strong, leading independent benchmarks and boosting frontier model accuracy by 9pp on professional documents like GDP.pdf. Pass if your use case is simple text extraction from clean digital PDFs. That's overkill and you'll pay more for it. For those, open-source tools like Tesseract or basic parsers are cheaper and sufficient. Compared to alternatives, Reducto's agentic approach sets it apart. Traditional OCR tools often miss context, but Reducto's VLM-based corrections catch mistakes and link labels to values accurately. However, that sophistication comes at a cost—pricing scales with usage, and it's batch-oriented, not real-time. One caveat: the free tier gives you up to 15K credits, but after that it's $0.015 per credit, which can add up fast for large volumes. Enterprise plans offer custom rate limits and on-prem deployments, but you'll need to contact sales. In practice, we'd reach for Reducto when building RAG pipelines or processing high-stakes documents in finance, healthcare, or legal. Just make sure the accuracy gain justifies the price tag.

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Real-world workflow fit

Concrete scenarios for the personas Reducto AI actually fits — and what changes day-one when you adopt it.

Data engineer at a fintech startup

They receive investor decks and SEC filings in PDF format and need to extract key financial metrics into a structured database for analysis.

Outcome: Using Reducto's Extract API with Deep Extract and Smart Schema, they build a pipeline that automatically pulls tables, figures, and text into JSON, populating their database with minimal manual review, saving hours per filing.

Healthcare operations lead

Their organization processes thousands of patient intake forms, many handwritten, and needs to digitize the data into an EHR system.

Outcome: They set up Reducto's Parse API with agentic OCR to handle handwriting and poor scans, then use Edit API to fill digital forms, achieving near-perfect accuracy and reducing manual data entry significantly.

AI engineer building a legal RAG system

They need to chunk long legal contracts into logical sections for retrieval, but standard chunking breaks tables and context.

Outcome: Using Deep Split, they split documents at natural boundaries, preserving structure and improving retrieval accuracy, then use the MCP server to integrate with Claude Code for streamlined agent workflows.

Use Cases

Models Under the Hood

Proprietary agentic OCRVision-language models (undisclosed)

as of 2026-08-14

Limitations

  • Rate limits on the Free plan (1 API call/second) limit testing throughput.
  • Free plan includes only first 15K credits; Standard charges $0.015/credit after.
  • Advanced features like custom processing pipelines and VPC deployment are gated behind Growth/Enterprise plans.
  • No mobile or desktop clients.

as of 2026-08-01

Verification history

We have re-verified Reducto AI 15 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 15 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Reducto AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0/mo

Ideal for

Developers and small teams who want to explore the platform and test document parsing on up to 15K credits before committing.

What this tier adds

Starting tier includes Parse, Extract, Edit, Split APIs, 30+ file types, and up to 5 Studio seats, with no page limits but a 1 API call/sec rate limit.

Standard

$0.015/credit after first 15K

Ideal for

Startups and early-stage teams that need production parsing but want pay-as-you-go flexibility.

What this tier adds

Adds pay-as-you-go billing ($0.015/credit after the first 15K) and guarantees 200 concurrent pages, while keeping all Free features.

Growth

Custom

Ideal for

Scaling teams that need higher throughput, security controls, and premium support for heavy document processing.

What this tier adds

Adds volume discounts, zero data retention agreement, BAA, premium rate limits, priority support, EU/AU data residency, unlimited Studio seats, and Studio evaluations.

Enterprise

Custom

Ideal for

Large enterprises that require full control, custom SLAs, and on-prem or VPC deployment for compliance.

What this tier adds

Adds VPC and on-prem deployments, custom MSA/SLA, custom throughput and pipelines, dedicated on-call support, RBAC, and SSO/SAML, with 500+ guaranteed concurrent pages.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Going past the 15K free credits adds $0.015 per credit, which can get expensive at high volume.
  • The free plan's 1 API call/second rate limit means you'll need to upgrade to Standard or Growth for meaningful throughput.
  • Features like custom pipelines and on-prem deployment are locked behind Growth and Enterprise plans, which require custom contracts.
  • Batch processing discounts only apply to parsing, not extraction or other APIs, so savings are limited to a subset of operations.

Where the pricing makes sense

The company stage and team size where Reducto AI's pricing actually pencils out — and where peers do it cheaper.

Reducto's pricing fits teams that need high accuracy on complex documents and are willing to pay per credit, but for simple PDFs, cheaper alternatives like Tesseract or even built-in AI features in cloud providers offer better value. Compared to AWS Textract which has volume-based tiers, Reducto's credits can be more costly for straightforward text extraction.

Setup time & first value

How long it actually takes to get something useful out of Reducto AI — broken out by persona, not the marketing-page minute.

For a developer, you can make your first API call within 5 minutes using the quickstart. Visual pipeline setup via Studio takes about an hour to configure and test. Enterprise deployments with VPC may take a few weeks to set up with the team.

Switching to or from Reducto AI

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From AWS Textract: Use Reducto's Extract API to parse documents with higher accuracy, especially for tables, and map the returned JSON to your existing structure.
  • From Google Document AI: Reducto's Smart Schema adapts to your document types, simplifying the migration of parsing logic.
  • From open-source Tesseract: For complex documents, Reducto's agentic OCR corrects errors that Tesseract misses, but you'll need to adjust your pipeline to use the API.
Migrating out
  • To Tesseract or other open-source parsers: For simple clean PDFs, you can switch to Tesseract and avoid per-credit costs.
  • To AWS Textract: If your needs are basic text extraction and you're already in AWS, Textract offers per-page pricing that may be lower for simple documents.

Integrations

AWS MarketplaceDatabricks

Resources & Guides

Tutorials & Learning

Tools that pair well with Reducto AI

Common stack mates teams adopt alongside Reducto AI, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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