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Reducto vs Pulse
Pulse is a focused document parser with an emphasis on financial documents. Reducto is the complete agentic document platform — 4B+ pages processed in production for teams like Harvey, Scale AI, and Vanta.
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Helping everyone from startups to Fortune 10 enterprises unlock their data.
- Harvey
- Scale AI
- Newfront
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- Vanta
- Legora
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- JLL
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- Laurel
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At a glance
How Reducto and Pulse compare
Pulse is a capable, focused parser. Reducto wins on measured accuracy, platform breadth, and enterprise readiness at production scale.
| Dimension | Reducto | Pulse |
|---|---|---|
| Category | Full platform: parse, extract, split, classify, and edit in one API. | Focused parsing and extraction product, emphasizing financial documents. |
| Parsing accuracy | Yes: Up to 99–100% zero-shot accuracy on complex documents. | Partial: Solid on its core document types; narrower pipeline. |
| Structured extraction | Yes: Deep Extract: 99.6% precision and recall on micro1's benchmark. | Partial: Extraction offered, without granular per-field spatial citations. |
| Table extraction | Yes: 0.90 on RD-TableBench; merged cells, multi-level headers, borderless tables. | Yes: A stated focus, particularly for financial documents. |
| Enterprise readiness | Yes: SOC 2 Type II, HIPAA, zero data retention; VPC to air-gapped. | Partial: Fewer documented compliance and deployment options. |
| Production track record | Yes: 4B+ pages processed; Harvey, Scale AI, and Vanta in production. | Partial: Newer product, serving primarily small to mid-market teams. |
| Agent tooling | Yes: MCP server, CLI, Python/Node.js/Go SDKs, and Studio. | Partial: API-first; agent-native tooling is not the focus. |
| Pricing | From $0.015/page pay-as-you-go; 15,000 free credits. | $340 minimum monthly fee; volume discounts are enterprise-tier only. |
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
- 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 with 100% coverage, 99.6% precision, 99.6% recall, and 99.3% leaf accuracy, and completed every document with zero failures. Pulse wasn't part of that benchmark, so we won't claim a head-to-head result that doesn't exist. Benchmarks are a starting point, not a verdict: the numbers that matter are the ones on your own documents, which is why we encourage running both tools on the same set and comparing output directly.
- How Reducto reads documents
- Reducto's multi-pass pipeline orchestrates 12+ models: layout-aware computer vision to break the page into regions, OCR for text, and vision-language models that review and correct the output in context, the way a human editor would. Reducto uses frontier models rather than trying to replace them, balancing accuracy, latency, and throughput per document. That architecture is what holds accuracy on handwriting, complex tables, strikethroughs, redlines, and dense charts, and it's why Reducto scores 0.90 on RD-TableBench.
- One platform vs a focused parser
- Pulse concentrates on parsing and extraction, and does the focused thing well. Reducto ships the complete toolkit (Parse, Extract, Split, Classify, and Edit) in a single API across 30+ file types and 100+ languages, plus an MCP server, CLI, and SDKs so agents can drive the same tools. If your workflow is read-then-act, where you extract data, fill forms, split packets, and classify inbound documents, one platform means fewer vendors, fewer glue layers, and fewer places for accuracy to leak between steps.
- Citations and auditability
- Every value Reducto extracts links to its exact bounding-box position in the source document, accessible via API and reviewable in Studio. For financial and other regulated workflows (exactly where Pulse aims), that audit trail is usually the difference between an extraction you can ship and one a compliance reviewer sends back. Pulse's output doesn't carry the same granular per-field spatial citations.
- Enterprise deployment and vendor maturity
- Reducto is SOC 2 Type II and HIPAA compliant (BAA available) with zero data retention, and deploys hosted, in your VPC, on-prem, or fully air-gapped, with forward-deployed support and tailored SLAs. It has processed 4B+ pages in production for teams like Harvey, Scale AI, and Vanta. Pulse is a promising earlier-stage vendor; that's not a knock, but if you're standardizing a document layer for years of production traffic, deployment flexibility and a proven track record at scale are fair things to weigh.
- Pricing structure, not just price
- Reducto starts at $0.015/page pay-as-you-go with 15,000 free credits: no monthly minimum, and volume discounts kick in from the Growth tier. Pulse's lowest plan carries a $340 minimum monthly fee regardless of usage, with volume discounts reserved for its enterprise tier. For teams whose volume is spiky or still growing, paying only for what you process usually wins the total-cost math.
- Migrating from Pulse
- Migrations are typically a matter of swapping the parse or extract call and mapping output formats. Reducto returns structured JSON with reading order, block types, and table structure, and the docs cover Python, Node.js, and Go SDKs. Because Split, Classify, and Edit live in the same API, teams often retire downstream glue code during the migration rather than porting it. Our engineers will run a migration eval with you on your own documents.
Which fits your team
Who should pick which
Different tools fit different stages. Here's the honest split.
Choose Reducto if…
- Accuracy on complex documents (dense tables, handwriting, scans, charts, redlines) directly gates your product quality.
- You're in a regulated industry where SOC 2, HIPAA, zero data retention, or VPC/on-prem/air-gapped deployment are non-negotiable.
- Your workflow extends beyond parsing into extraction with citations, splitting, classification, or form filling and document editing.
- You need per-field spatial citations for compliance review, audit, or human-in-the-loop verification.
- You're standardizing a document layer for production scale and want a vendor with a proven track record: 4B+ pages processed for teams like Harvey, Scale AI, and Vanta.
Pulse may be a fit if…
- Your needs center on parsing a well-defined set of documents, particularly the financial documents where Pulse focuses.
- You want a focused, API-first parsing product and don't need splitting, classification, editing, or granular citations.
- You prefer working with a smaller, earlier-stage vendor and its monthly-minimum pricing fits your steady usage.
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