Compare
Reducto vs Google Document AI
Reducto is the agentic document platform: one zero-shot API for every document, deployable from hosted to air-gapped. Document AI is Google Cloud's OCR service, built around per-document-type processors.
Last updated
Helping everyone from startups to Fortune 10 enterprises unlock their data.
- Harvey
- Scale AI
- Newfront
- Medallion
- Vanta
- Legora
- Rogo
- Levelpath
- JLL
- Vise
- Laurel
- Toast
- Mercor
- Datasite
- Anterior
- Supio
- EliseAI
- Unify
Migration credits
Apply for migration creditsIf you're using another document processor, we'll give you up to $5,000 in credits to migrate your workload to Reducto.
At a glance
How Reducto and Google Document AI compare
Reducto wins on zero-shot accuracy, platform breadth, and deployment flexibility. Document AI wins on GCP ecosystem integration and pretrained processors for standard document types.
| Dimension | Reducto | Google Document AI |
|---|---|---|
| Category | Full platform: parse, extract, split, classify, and edit in one API. | Cloud OCR service: 60+ pretrained and custom processors on Google Cloud. |
| Setup model | Yes: Zero-shot: any document, structured output; no training or routing. | Partial: Pretrained and custom processors, including zero-shot foundation-model extraction. |
| Table extraction | Yes: Merged cells, multi-level headers, rotated tables. | Partial: Table extraction available; evaluate complex table structures with the selected processor. |
| Structured extraction | Yes: Deep Extract: 99.6% precision and recall on micro1's benchmark. | Partial: Processor-based extraction with text and page anchors in supported outputs. |
| Enterprise readiness | Yes: SOC 2 Type II; HIPAA/BAA and 24-hour API data expiry on Growth+; VPC to air-gapped. | Partial: GCP-grade compliance; Google Cloud only, no on-prem or air-gapped. |
| Agent tooling | Yes: MCP server, CLI, Python/Node.js/Go SDKs, and Studio. | Yes: Tight Vertex AI integration; output needs post-processing for LLM pipelines. |
| Pricing | From $0.01/page pay-as-you-go; $150 in free credits. | Per-processor rates for OCR, forms, and specialized processors. |
Parse one of your hardest documents in Studio and compare the output side by side.
The comparison in depth
Where the differences actually show up
- Zero-shot vs processor-per-document-type
- Document AI's core abstraction is the processor: a pretrained model for invoices, W-2s, or IDs, or a custom extractor, including foundation-model extraction that can run from a schema without training. That works well when your documents fit the catalog. When they don't, it creates real overhead: routing logic to pick the right processor, training where the chosen model needs examples, and maintenance as document formats drift. Reducto reaches up to 99–100% zero-shot accuracy on complex documents. Reducto Extract works from a schema without labeled training examples, through the same API across document types. Parse r-1 reads text, tables, figures, and layout together in one pass, with source grounding. In preview, r-1 is faster than Reducto's previous agentic pipeline, with 20% lower error. Legacy parsing and custom agentic processing remain available.
- Extraction accuracy, measured
- An independent benchmark commissioned by Reducto and conducted by micro1 evaluated extraction systems on 225 real, human-validated documents. Reducto Deep Extract ranked #1 on all four dimensions (100% coverage, 99.6% precision, 99.6% recall, 99.3% leaf accuracy) and completed every document with zero failures. Google Document AI was not tested in LongExtractionBench. Benchmarks are a starting point, not a verdict: the numbers that matter are the ones on your own documents, which is why we encourage head-to-head evals.
- The hard 20%: figures, handwriting, checkboxes
- Google's base OCR is genuinely strong; the gap opens on the content that breaks pipelines. Parse r-1 handles figures, mixed handwritten and printed text on the same page, and checkbox detection with state and position. Advanced chart extraction converts charts to structured tabular data as an optional processing step. In Document AI, figure and chart extraction is limited outside purpose-built processors, handwriting often means routing to a dedicated processor, and checkbox accuracy is inconsistent across styles. If your documents are clean and standardized, you may not notice; if they're scanned forms and real-world paperwork, this is where accuracy compounds.
- Output built for LLM and RAG pipelines
- Document AI predates the LLM era, and its output shows it: teams typically write post-processing to turn processor responses into chunks, markdown, or schema-shaped JSON that agents and RAG systems can use. Reducto returns LLM-ready structured output natively: reading order, block types, table structure, and optional per-field Extract citations with bounding boxes, reviewable in Studio. Reducto uses frontier models rather than competing with them; the point is a document-specific pipeline that gets model-ready data out of messy files, so your downstream models start from clean input.
- Deployment beyond one cloud
- Document AI processes documents on Google Cloud. Teams that need processing in their own VPC, on-prem, or air-gapped need a different deployment option. Reducto is SOC 2 Type II, with HIPAA/BAA on Growth and Enterprise and documented data-retention policies, and deploys hosted, in your VPC on any major cloud, on-prem, or fully air-gapped. Teams at Harvey, Scale AI, and Vanta run Reducto in production, and the platform has processed 5B+ pages.
- Pricing you can predict
- Document AI prices per processor: OCR, form parsing, and specialized processors each carry their own rates, so total cost depends on how documents route through your pipeline. Reducto includes $150 in free credits. Parse r-1 is $0.01/page, Extract is $0.02/page, and Deep Extract is $0.04/page, with parsing included in both extraction prices. You can budget by page count instead of estimating variable credit usage, with no separate parsing bill for extraction. See processing rates.
- Migrating from Document AI
- Most migrations collapse processor routing into a single API call: where Document AI needs per-type processors and the glue code between them, Reducto handles the same documents zero-shot. The docs cover Python, Node.js, and Go SDKs, and Studio lets you validate output on your real documents before switching production traffic. Teams typically delete routing and post-processing code rather than port it.
Which fits your team
Who should pick which
Different tools fit different stacks. Here's the honest split.
Choose Reducto if…
- Your documents are complex (irregular tables, figures and charts, handwriting, checkboxes, scans), where processor-based OCR accuracy falls short.
- You want zero-shot processing without selecting, training, or maintaining processors per document type.
- You need deployment beyond Google Cloud: VPC on any major cloud, on-prem, or air-gapped, with SOC 2 Type II, HIPAA, and documented data-retention controls.
- You're feeding LLM, RAG, or agent pipelines and want citation-backed, model-ready output instead of post-processing processor responses.
- Your workflow extends beyond OCR into extraction with citations, splitting, classification, or document editing.
Google Document AI may be a fit if…
- Your team is standardized on Google Cloud and wants document processing inside a single GCP billing and procurement workflow.
- Your workload is dominated by standard document types (invoices, receipts, W-2s) that map cleanly to Google's pretrained processors.
- You mainly need solid base OCR on common formats, and document complexity is low enough that processor accuracy limits don't bite.
FAQ
Common questions
Keep comparing
More comparisons
Reducto vs Gemini
An agentic document platform that combines purpose-built document models with a production pipeline vs a general-purpose frontier LLM used raw for document work.
Read the comparisonReducto vs Extend
A complete agentic document platform with benchmark-leading extraction and flexible deployment vs a managed document workflow product.
Read the comparisonReducto vs Pulse
A complete agentic document platform proven at enterprise scale vs a focused document parser with a financial-documents emphasis.
Read the comparisonFurther reading
Research before you choose
- GuideEvaluating Google Document AI for PDF Parsing
Compare Google Document AI on the complex PDF workloads that expose parser tradeoffs.
- BenchmarkComplex Document Extraction Benchmark
See how Deep Extract performed on micro1’s independent benchmark of complex document extraction.
- GuideIDP Enterprise Evaluation
Use a practical framework to evaluate document processing platforms for enterprise workloads.
Document work starts here
See the difference
Sign up with $150 in free credits, run your hardest documents through both tools, and compare the output side by side.
