Reducto AI is live · pricing from $150 · last verified 8 Nov 2026 · viability healthy
Reducto AI
Agentic document platform that turns PDFs, forms and tables into structured JSON with bounding-box citations.
If extraction errors are what blocks your product, Reducto is one of the few document APIs where you can price the switch before you commit: $150 in free usage, published per-1,000-page rates ($10 r-1 Parse, $1 r-1 mini Parse, $20 Extract) and up to $5,000 in migration credits. Pick it for messy tables, handwriting, multilingual scans and citation-dependent review workflows. Pass if your inputs are clean digital PDFs you can read with a text layer, or if you need streaming token-level latency rather than queued jobs.
Verdict generatedVerified 5d ago · liveness 84/100 · cite: rightaichoice.com/tools/reducto-ai
- Finance teams extracting tables from investor decks, SEC filings and large spreadsheets
- Legal, insurance and compliance teams that need paragraph-level citations for review
- AI teams building RAG pipelines needing layout-aware chunking and bounding boxes
- Engineering teams with API capacity running high-volume document intake
- Teams whose inputs are clean digital PDFs with an extractable text layer
- Products needing streaming token-level latency rather than queued async jobs
- Organizations with no engineering capacity to call an API, use the CLI or work in Studio
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Skip Reducto if your documents are clean digital PDFs with a usable text layer, or if you need streaming token-level extraction inside a live conversation rather than queued batch jobs.
Edit costs $60 per 1,000 pages, four times the Extract rate, and it can't be combined with other products in the same call — a form-filling pipeline pays it as a separate line.
Standard suits early-stage teams testing a workflow: $150 in free usage, then $10 per 1,000 r-1 Parse pages or $1 per 1,000 r-1 mini pages, with no page ceiling. Growth is where volume discounts, zero data retention, a BAA and EU/AU endpoints live, and Enterprise adds VPC, SSO/SAML and RBAC. At $1 per 1,000 pages r-1 mini undercuts legacy OCR vendors by a wide margin on bulk parsing; Deep Extract at $40 per 1,000 pages is the premium line reserved for documents where errors are expensive.
In short
Reducto AI — Agentic document platform that turns PDFs, forms and tables into structured JSON with bounding-box citations. Best for Finance teams extracting tables from investor decks, SEC filings and large spreadsheets, Legal, insurance and compliance teams that need paragraph-level citations for review, AI teams building RAG pipelines needing layout-aware chunking and bounding boxes. Plans from $150.
No head-to-head comparison for Reducto AI yet — the alternatives below are the closest matches we list.
What is Reducto AI?
Reducto AI — Agentic document platform that turns PDFs, forms and tables into structured JSON with bounding-box citations. Best for Finance teams extracting tables from investor decks, SEC filings and large spreadsheets, Legal, insurance and compliance teams that need paragraph-level citations for review, AI teams building RAG pipelines needing layout-aware chunking and bounding boxes. Plans from $150.
Reducto is an API-first document platform for teams whose product breaks on bad extraction — dense financial tables, scanned intake forms, faxes, mixed-layout filings. You call a single endpoint or chain several into one pipeline: Classify routes files by type, Parse returns LLM-ready text, tables and figures with layout preserved, Extract returns schema-level JSON with parsing included, Split divides combined files, Edit fills blanks, tables and checkboxes without templates, and Pipelines let you deploy a multi-step workflow as a single API call from Studio. The platform now runs on the r-1 generation of parsing models, launched September 2026, with r-1 mini added in November 2026 at $1 per 1,000 pages for high-volume parsing. Outputs are grounded with bounding-box citations you inspect in the Studio viewer, and Reducto reports 5,000,000,000+ pages processed. Python, Node.js, Go and REST SDKs, an MCP server and a CLI put it inside Claude Code, Codex and Cursor, with listings on AWS Marketplace and Databricks. Customer names skew finance, legal, insurance and compliance — Harvey, Scale AI, Vanta, Legora, JLL, Toast, Newfront, Drata.
Key features
- r-1 unified full-page parsing model returns layout, tables, figures and formatting with bounding-box citations
- r-1 mini parsing model at $1 per 1,000 pages for high-volume workloads
- Parse API converts PDFs, images, spreadsheets, slides and text documents into LLM-ready structured blocks
- Extract API returns schema-level JSON with parsing included at no extra cost
- Deep Extract agentic loop for long, high-stakes documents
- Split API separates multi-document files using layout-aware heuristics
- Deep Split agentic loop for near-perfect document separation
- Classify endpoint routes documents by type using natural-language category definitions
- Deep Classify for higher accuracy on difficult documents
- Edit API fills detected blanks, tables and checkboxes and modifies DOCX files without templates
- Multilingual OCR across 100+ languages including mixed-language documents
- OCR for scanned pages, faxes and handwritten content, with automatic page rotation
- Intelligent chunking and embedding optimization for RAG pipelines
- Pipelines chain Classify, Parse, Extract and Edit into a single API call, built in Studio
- Studio citation viewer to inspect outputs against source documents at bounding-box level
Behind the verdict
Reducto's core bet is that one unified full-page model beats the OCR-then-reconstruct stack. r-1 reads layout, text, tables, figures and formatting together in context and returns grounded structure with bounding-box citations, which is the part that matters when a reviewer has to sign off on an extracted number. In November 2026 Reducto added r-1 mini at $1 per 1,000 pages, which changes the economics for high-volume parsing: you can route bulk pages through mini and reserve r-1, Extract and Deep Extract for the documents where accuracy carries money. Where it fits: finance teams pulling tables out of investor decks, spreadsheets and SEC filings; legal and insurance teams that need cited, section-level structure; and AI teams building RAG over policies or filings who want layout-aware chunking rather than naive text splits. The endpoint split is genuinely useful — Classify first, then Parse or Extract only what you need, is far cheaper than sending every page through Deep Extract. Pipelines in Studio let a non-API person assemble and test that chain visually before an engineer ships it. Where it doesn't: it is API-first. If nobody on your team will call an endpoint, run the CLI or work in Studio, the platform is dead weight. It is built for batch and throughput — 500 concurrent r-1 pages on Standard, up to 2,000 on Growth — not for streaming extraction inside a live chat turn. Pricing is per endpoint per 1,000 pages, so a naive four-step chain pays four rates; the $1 figure is the r-1 mini Parse rate, not a blended cost. Zero data retention, a BAA, EU/AU residency endpoints and premium rate limits sit on Growth, and VPC/on-prem, SSO/SAML, RBAC and custom MSAs sit on Enterprise, both quoted by sales. Standard caps Studio at 5 seats. Reducto publishes an on-prem and hybrid VPC path, which is more deployment flexibility than most competitors in this category — but expect a security review to push you past Standard to get it.
Models under the hood
as of 2026-11-08
Limitations
- Pricing is metered per 1,000 pages per endpoint: r-1 Parse $10, r-1 mini Parse $1, Extract $20, Deep Extract $40, Split $20, Deep Split $40, Classify $7.50, Deep Classify $15, Edit $60 (or $15 for fully prefilled pages), plus $1 for OCR data return on r-1 mini and $5 per 1,000 prompted blocks.
- A pipeline chaining endpoints pays each endpoint's rate separately — $1 per 1,000 pages is the r-1 mini Parse rate, not a blended cost — though Extract, Split and Classify include parsing at no extra cost.
- Standard is pay-as-you-go after $150 in free usage, caps concurrent r-1 pages at 500 (EU limits are half, and limits may vary by region) and caps Studio at 5 seats.
- Zero data retention, a BAA, EU/AU residency endpoints, premium rate limits and priority support require Growth; VPC/on-prem, custom MSA and SLA, RBAC and SSO/SAML require Enterprise.
- Growth and Enterprise are custom-quoted.
- It assumes you can call an API, run the CLI or work in Studio.
as of 2026-11-08
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Is Reducto AI still active?
Reducto AI is live · pricing from $150 · last verified 8 Nov 2026 · viability healthy.
Viability score
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
Last calculated: November 2026
How we score →What's new in Reducto AI
Checked 5 days agoAcross the latest 5 updates: 2 launches and 3 news mentions.
Reducto introduces r-1 mini: document parsing at $1 per 1,000 pages
Reducto launched r-1 mini, a document parsing model priced at $1 per 1,000 pages and positioned as high-accuracy parsing for large volumes.
Drata uses Reducto for document understanding in compliance AI workflows
A Reducto case study describes Drata replacing manual questionnaire intake with automated document understanding and answer writeback.
Reducto announces New York City expansion
Reducto announced a New York City expansion, citing proximity to enterprises running document intelligence in production.
Finch Legal case study: paralegals manage 5x more personal injury cases with Reducto
Finch Legal uses Reducto to turn inbound documents into structured, cited data; the firm reports paralegals managing 5x more personal injury cases.
Reducto launches r-1 generation of document parsing models
Reducto introduced r-1, a new generation of document parsing models built on its Agentic OCR approach.
What do users say about Reducto AI?
What people actually say about Reducto AI — is it worth it?
We scanned public community sources for Reducto AI on Oct 11, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 2 of the posts we fetched could be positively tied to Reducto AI. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
How we verified this
Every listed fact about Reducto AI — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 8 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Reducto AI 22 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.
- — changed link health
- — changed description, setup time, who it suits, who should skip it, pricing tiers, switching in, use cases, switching out, our verdict, limitations, pricing fit, summary, features, hidden costs, pricing page, models
- — changed who it suits, description, who should skip it, features, summary, our verdict, pricing tiers
- — changed pricing page
- — changed who it suits, who should skip it, pricing tiers, description, summary, our verdict, features
- — changed pricing page, who should skip it, description, our verdict, summary, pricing tiers, integrations, who it suits, features
Showing the 6 most recent of 22 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Reducto AI cost in 2026?
Reducto AI: Plans from $150. Pricing last verified 8 Nov 2026.
Plans compared
Every published Reducto AI tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Standard | $150Vendor: “$150 in free usage, then list rates” | — | Early-stage team running its first document pipeline, with $150 in free usage to size the workload before committing.Adds: Starting tier: pay-as-you-go after $150 in free usage at $10 per 1,000 r-1 Parse pages or $1 per 1,000 r-1 mini pages, 500 concurrent r-1 pages and up to 5 Studio seats. |
| Growth | Custom | quote | Scaling team processing production volume that needs zero data retention, a BAA or EU/AU data residency endpoints.Adds: Adds per-endpoint volume discounts, zero data retention, a BAA, premium rate limits, priority support, EU/AU residency and unlimited Studio seats over Standard. |
| Enterprise | Custom | quote | Regulated or high-throughput organizations that need VPC or on-prem deployment and a custom contract.Adds: Adds VPC and on-prem deployments, custom MSA and SLA, custom rate limits, custom pipelines, RBAC and SSO/SAML over Growth. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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.
Standard suits early-stage teams testing a workflow: $150 in free usage, then $10 per 1,000 r-1 Parse pages or $1 per 1,000 r-1 mini pages, with no page ceiling. Growth is where volume discounts, zero data retention, a BAA and EU/AU endpoints live, and Enterprise adds VPC, SSO/SAML and RBAC. At $1 per 1,000 pages r-1 mini undercuts legacy OCR vendors by a wide margin on bulk parsing; Deep Extract at $40 per 1,000 pages is the premium line reserved for documents where errors are expensive.
Has Reducto AI's pricing changed?
No plan price for Reducto AI has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Reducto AI?
Pick Reducto AI if you are Finance teams extracting tables from investor decks, SEC filings and large spreadsheets, Legal, insurance and compliance teams that need paragraph-level citations for review, AI teams building RAG pipelines needing layout-aware chunking and bounding boxes, Engineering teams with API capacity running high-volume document intake.
Look elsewhere if you are Teams whose inputs are clean digital PDFs with an extractable text layer, Products needing streaming token-level latency rather than queued async jobs, Organizations with no engineering capacity to call an API, use the CLI or work in Studio, Buyers who need VPC or on-prem deployment on the self-serve Standard plan.
Skip it if Skip Reducto if your documents are clean digital PDFs with a usable text layer, or if you need streaming token-level extraction inside a live conversation rather than queued batch jobs.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Reducto AI actually fits — and what changes day-one when you adopt it.
Drop investor decks and SEC filings into Parse r-1, pull the table structure into a warehouse, and click any figure back to its bounding box in Studio when the number looks off.
Outcome: Dense tables land as structured rows you can query, with a citation for every cell a reviewer challenges.
Run onboarding documents through Classify, chunk with layout-aware parsing, and use Extract for the handful of fields the retrieval layer filters on.
Outcome: Retrieval returns whole sections rather than split table rows, and answers carry page-level citations.
Batch scanned intake forms and faxes through Edit to populate detected blanks and checkboxes from a database, with Split ahead of it to separate combined files.
Outcome: Intake that previously needed manual keying becomes a queued job, with Studio used to spot-check outputs before release.
Use cases
- Parse dense financial tables from investor decks, spreadsheets and SEC filings into structured output.
- Extract invoice line items into a JSON schema with parsing included in the Extract rate.
- Split bulk PDFs of medical records or combined filings into individual patient or matter files.
- Fill government and onboarding forms by populating detected blanks and checkboxes from your own database.
- Classify inbound legal or compliance documents by type before routing them to the right queue.
- Chunk insurance policies at section boundaries for RAG retrieval with bounding-box citations.
- Give an AI agent document tools through the MCP server and CLI inside Claude Code, Codex or Cursor.
- Chain Classify, Parse, Extract and Edit into one reusable pipeline deployed from Studio.
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.
An engineer gets a first Parse result in about five minutes with the quickstart and a Python, Node.js, Go or REST call. A non-coder can build and test an extraction pipeline in Studio in an afternoon. A production pipeline with classification, splitting, retries and citation review is realistically a one-to-two-week integration, plus whatever your security review adds before Growth or Enterprise
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.
- →From legacy OCR vendors: published per-1,000-page rates and up to $5,000 in migration credits for moving a document workload over.
- →From a general-purpose vision model: swap the prompt loop for a Parse or Extract endpoint and get deterministic per-page cost plus bounding-box citations.
- →From a self-built OCR pipeline: chain Classify, Parse, Split and Extract in Studio Pipelines and deploy it as a single API call.
- ↗To an open-source OCR stack: export per-page usage through the Usage Export API before you switch, so you can size the replacement.
- ↗To a general-purpose vision model: expect to rebuild citation and bounding-box grounding yourself if you leave.
Integrations
Resources & guides
- Resourcereducto.ai
Agentic Document Platform Tutorials and Case Studies | Reducto
Technical articles, case studies, and tutorials on the agentic document platform, enterprise RAG, and scaling document workflows for leading AI teams. Read our latest insights →
- Resourcereducto.ai
Pricing | Reducto Agentic Document Platform
Flexible, credit-based pricing for Reducto's agentic document platform and Studio. Choose Standard, Growth, or Enterprise plans with free credits, HIPAA/SOC 2 compliance, and priority support.
- Documentationreducto.ai
Docs
Full product docs from reducto.ai
Tutorials & Learning
YouTube returned 6 videos for “Reducto AI”, and we withheld 6: 6 could not be judged, because “Reducto AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Reducto AI.
Official links
What are the best Reducto AI alternatives?
The closest alternatives to Reducto AI we list are Unstract, Unstructured.io and Airparser. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Unstract | Freemium | Pricing not published | — |
| Unstructured.io | Freemium | Pricing not published | — |
| Airparser | Freemium | Pricing not published | — |
Alternatives to Reducto AI
View all
Unstract
Unstract turns PDFs, scans and forms into structured JSON with agentic, no-template document extraction and auditable Flow workflows.
Unstructured.io
Unstructured turns messy PDFs, scans, tables and forms into structured data your RAG pipelines and AI agents can actually use.
Tools that pair well with Reducto AI
Common stack mates teams adopt alongside Reducto AI, with the specific reason each pairing earns its keep.
Unstract
Unstract turns PDFs, scans and forms into structured JSON with agentic, no-template document extraction and auditable Flow workflows.
Unstructured.io
Unstructured turns messy PDFs, scans, tables and forms into structured data your RAG pipelines and AI agents can actually use.
Airparser
Airparser turns emails, PDFs and scans into structured JSON with AI document parsing — no templates to maintain
Frequently asked questions
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