Reducto vs Pulse | Agentic Document Platform Comparison

Reducto leads independent benchmark on structured extraction with Deep Extract

Helping everyone from startups to Fortune 10 enterprises unlock their data.

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: 5B+ 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.

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: 5B+ pages processed for teams like Harvey, Scale AI, and Vanta.

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.