"We were scaling document volume by nearly 50 percent every month —
Nutrient handled it without us adding resources."
Harvey
compare
Nutrient is a Reducto alternative for document extraction and retrieval-augmented generation (RAG). This feature-by-feature comparison shows where Nutrient wins — a full document platform, deterministic grounding, and far lower per-page cost — and where Reducto has the edge.
| Nutrient | Reducto | |
|---|---|---|
| Core approach | An owned, hybrid OCR + AI pipeline (text, structure, understand,
agentic) you tune per document. Repeatable, rule-based output you
control. | An agentic multipass platform — a layout model, vision language
models (VLM), and a self-correcting optical character recognition
(OCR) loop. Excellent on complex tables; output leans on VLM
inference. |
| Scope | ||
| Output formats | ||
| Deployment |
Nutrient is a single deterministic document platform: the same extraction layer, plus the viewers, editors, and signing your users actually work in — on web, mobile, and server.
Reducto is a focused, excellent agentic extraction platform — parse, extract, split, classify, and fill forms. But once your application also needs to view, annotate, redact, sign, compare, or convert those documents, that’s a second vendor.
Nutrient runs an owned, rule-based pipeline that returns the same value for the same page every time — with a confidence score and an interpretable match label (exact, fuzzy, or not found) your review logic can branch on.
Reducto leans on vision language models with an agentic self-correction loop — returning the best extraction it can find, including self-correcting when confidence is low.
An honest, capability-by-capability comparison — including where Reducto wins.
| Nutrient | Reducto | Winner | |
|---|---|---|---|
| Complex table extraction | Handled by understand and agentic modes. | A core focus — agentic OCR with math-invariant self-correction;
state-of-the-art on its RD-TableBench. | Reducto |
| Agentic OCR/self-correction | VLM-augmented agentic mode for the most difficult documents. | Iterative verification loops with checksum and math-invariant
validation on dense financials. | Reducto |
| Schema extraction and citations | The /extract endpoint maps to your JSON Schema with per-field
citations and match labels. | Extract and Deep Extract map to a JSON Schema with spatial
citations. | Draw |
| Deterministic, rule-based output | Owned hybrid OCR and AI pipeline; repeatable, auditable output
with interpretable match labels. | VLM-driven with an agentic correction loop; output depends on
model inference. | Nutrient |
| Form filling/writeback | Form filling and full editing in the Nutrient viewer and SDKs. | Edit API fills fields and templates from natural language
instructions, auto-detecting checkboxes. | Different approaches |
| On-premises/self-hosted | Self-host the extraction engine via the SDKs and Document Engine. | Private VPC and air-gapped on-premises deployments. | Draw |
| Security and compliance | SOC 2 Type 2 audited; transport layer security (TLS)-encrypted
transport. | SOC 2 Type 2, HIPAA, zero-data retention option. | Draw |
| Output formats | Spatial JSON, Markdown, and schema JSON from one API. | JSON, Markdown, HTML tables, and schema JSON. | Draw |
| Full document platform | View, edit, redact, sign, compare, and convert — beyond
extraction. | Extraction and form writeback only. | Nutrient |
| Cross-platform SDKs | SDKs for web, mobile, and server, plus a Model Context Protocol
(MCP) server. | Server SDKs (Python, Node.js, Go), a CLI, and an MCP server. | Nutrient |
| Developer experience for AI teams | Documentation, SDKs, MCP, and a growing set of connectors. | Reducto Studio’s visual verification and a focused, AI-team-first
workflow. | Reducto |
| Per-page price | Per-page credits at a fraction of Reducto’s credit price. | Flat $0.015 per credit, pay as you go; premium at the agentic
tiers. | Nutrient |
Reducto stops at extraction and form writeback. Nutrient is a full document platform, so the same vendor also powers the human-facing document work your application needs — no second integration, no second contract.
| Nutrient | Reducto | |
|---|---|---|
| Document viewer and rendering | ||
| Annotations and markup | ||
| Redaction | ||
| eSignatures | ||
| Document comparison | ||
| Conversion and generation | ||
| Mobile SDKs | ||
| Accessibility |
These rates cover document extraction — parsing and schema extraction. Both vendors bill per page in credits, but the credit is priced very differently: Reducto charges a flat $0.015 per credit, while a Nutrient credit costs a fraction of that, so per-page cost runs several times lower. Here’s roughly what 1,000 pages costs, from simple text to the most difficult documents.
| Nutrient | Reducto | |
|---|---|---|
| Free credits | 5,000/month | 15,000 one-time |
| Simple text documents | ~$0.84–$2.00/1,000 pages | ~$15/1,000 pages |
| Complex layouts (tables, forms) | ~$8–$18/1,000 pages | ~$30/1,000 pages |
| Most difficult documents (scans, charts) | ~$15–$36/1,000 pages | ~$60/1,000 pages |
Approximate self-serve rates as of June 2026 (Nutrient and reducto.ai), shown per 1,000 pages. Reducto is a flat $0.015 per credit pay-as-you-go plan (15,000 one-time free credits); Nutrient’s per-credit price drops from entry to volume plans (5,000 free credits every month). Schema extraction adds a flat 6 credits/page on Nutrient; Reducto’s Extract adds 2–4 credits/page, with a 30-credit-per-document minimum on Deep Extract. These rates cover the Data Extraction API only; the viewer, editing, signing, and other SDK capabilities above are licensed separately.
Parse and extract. Then view, edit, redact, sign, compare, and convert across one platform. Reducto stops at extraction and form writeback.
Reducto’s flat $0.015 per credit runs several times higher than a Nutrient credit at every tier — simple text to the most difficult scans.
A rule-based pipeline returns the same value for the same page, with confidence scores and interpretable match labels built for audits.
SDKs for web, mobile, and server, plus an MCP server — so the same document stack ships in the app, not just the pipeline.
5,000 Data Extraction API credits every month, no credit card required. Pick the cheapest mode that meets your accuracy bar.
Reducto is an agentic document platform for AI teams. It parses, extracts, splits, classifies, and fills forms through a REST API and SDKs using a multipass pipeline (layout model, vision language models, and a self-correcting OCR loop). It’s known for state-of-the-art complex-table extraction and offers cloud, VPC, and air-gapped on-premises deployment.
Yes, for most teams — especially if you need more than extraction or want lower per-page cost. Nutrient is a full document platform (parse and extract, plus viewing, editing, redaction, signing, comparison, and conversion across web, mobile, and server SDKs) with deterministic, source-grounded output, at a fraction of Reducto’s credit price. Reducto has the edge on complex-table accuracy and agentic OCR self-correction, so weigh it by how table-dense your documents are.
If you’re comparing Reducto with other document extraction and parsing tools, the main alternatives are Nutrient, LlamaParse and LlamaExtract, Unstructured, Docling, Mistral Document AI, and Azure Document Intelligence. Nutrient stands out as a full document platform — extraction plus viewing, editing, signing, and conversion — with deterministic grounding and a much lower per-page price than Reducto.
Both produce layout-aware, citable output for RAG. Reducto is the stronger choice when your corpus is dominated by dense, complex tables that need agentic OCR. Nutrient is the better fit when you want structured Markdown across content-heavy documents, deterministic output you can audit, a single platform that also views and edits documents, and a markedly lower per-page cost. Many teams pick Nutrient for the breadth and price and reserve a specialist only for their most difficult table workloads.
Reducto charges a flat $0.015 per credit (15,000 one-time free credits), with parsing from 1 credit/page for simple layouts up to 4 credits/page for agentic-complex pages, and Extract from 2 credits/page. Nutrient charges per-page credits at a much lower per-credit price (5,000 free credits every month), so per-page cost typically runs several times lower at every tier. Talk to our team for a comparison scoped to your workload.
Yes — both vendors support self-hosting. Nutrient’s parsing and extraction can be self-hosted through its SDKs and Document Engine, and Reducto offers private VPC and air-gapped on-premises deployments. If on-premises is a hard requirement, both are viable; the deciding factors are usually platform breadth and cost.
Yes. The Data Extraction API is the parsing layer of a full document platform. Connect its output to AI Document Processing for templates and validation; to DWS for conversion, redaction, generation, and signing; and to Nutrient SDKs when humans need to review, edit, annotate, or approve documents in your application. Reducto focuses on extraction and form writeback.
EXPLORE
Unstructured.io is a strong RAG-ingestion toolkit — open source partitioning, chunking, and a deep connector ecosystem. Nutrient adds what it doesn’t: grounded schema extraction and the full document lifecycle — viewing, editing, signing, and conversion.
LlamaIndex’s LlamaParse and LlamaExtract are cloud-only and lean on foundation model inference. Nutrient delivers deterministic, source-grounded extraction with a self-hosted option — and a viewer to verify every citation.
Scanbot is a real-time mobile capture SDK — camera scanning, barcode decoding, on-device data capture. Nutrient is the platform for everything after capture: OCR, data extraction, viewing, conversion, redaction, and compliance.
5,000 free Data Extraction API credits per month — no credit card required. Parse and extract source-grounded data your AI workflows can trust, on one platform.