compare
Looking for a Reducto alternative? Nutrient’s Data Extraction API runs the same parse, extract, split, and classify jobs, ties every extracted field back to its place on the page, and Nutrient also offers the viewers, editors, forms, and signing the same documents need. Here’s where Nutrient is stronger, where Reducto still leads, and what switching involves.
| Nutrient | Reducto | |
|---|---|---|
| Core approach | Four processing modes, from fast text extraction to vision
language models. Every extracted value is checked against the
source text. | Layout models, vision language models, and self-correcting OCR,
built for complex tables. |
| Scope | ||
| Output formats | ||
| Deployment |
Nutrient is a single document platform. It pairs the extraction layer with the viewers, editors, forms, and signing your users work in, on web, mobile, and server, from one vendor. The SDKs are sold separately from the API.
Reducto is a focused extraction platform for parsing, extraction, splitting, classification, and form filling. Once your app also needs to view, annotate, redact, sign, or convert those documents, that’s a second vendor.
Nutrient’s text extraction, OCR, coordinates, and reading order are deterministic. Citations are on by default: every field gets a match label (exact, partial, fuzzy, or not found), its source region, and a confidence signal when the value is found.
Reducto leans on vision language models with an agentic self-correction loop. Its citations are opt-in, with a bounding box, the source text, and confidence ratings.
Reducto markets state-of-the-art table accuracy on its own RD-TableBench. On ParseBench, LlamaIndex’s public document parsing benchmark, Reducto (Agentic) is Reducto’s highest-scoring entry. Here’s how Nutrient’s agentic mode compares, dimension by dimension.
| ParseBench (0–100) | Nutrient (agentic) | Reducto (Agentic) | Higher score |
|---|---|---|---|
| Overall | 76.4 | 73.0 | Nutrient |
| Charts | 83.5 | 73.4 | Nutrient |
| Visual grounding | 77.5 | 67.1 | Nutrient |
| Semantic formatting | 64.7 | 57.6 | Nutrient |
| Content faithfulness | 84.5 | 86.4 | Reducto |
| Tables | 72.1 | 80.4 | Reducto |
Nutrient’s scores are its row on the public ParseBench leaderboard, Nutrient DWS (Agentic), which runs agentic mode at 18 credits per page. Nutrient submitted it using ParseBench’s own scoring against the live API. In our internal test of the latest engine on 14 October 2026, which includes improvements that haven’t reached the live API yet, agentic mode scored 82.8 overall and understand mode, at 9 credits, scored 64.0. Internal test scores aren’t independently verified. Reducto: parsebench.ai, retrieved 15 October 2026. Gaps under 1 point are shown as level. Every mode and competitor is on the Data Extraction API benchmarks page.
Capability by capability, including where Reducto wins.
| Nutrient | Reducto | Winner | |
|---|---|---|---|
| Match label on every field | Every field gets a citation and a match label showing whether the
value was found on the page. | Citations with boxes and confidence, when switched on. No match
label. | Nutrient |
| Reviewing results | No hosted review screen. The Nutrient viewer, sold separately,
shows each value on the page in your app. | Reducto Studio shows results for visual checks. In your own app,
you build the review screen. | Different approaches |
| Full document platform | Viewing, editing, redaction, signing, comparison, and conversion. | Extraction, splitting, classification, and form editing. | Nutrient |
| Schema extraction | JSON shaped to your schema, with a citation for every field. | JSON shaped to your schema, with citations, from Extract or Deep
Extract. | Draw |
| Self-hosting | The Java and Python SDKs, sold separately, run extraction on your
servers, even offline. Schema extraction needs a model server,
local or hosted. | VPC and air-gapped on-premises deployments, on the Enterprise
plan. | Different approaches |
| Browser workbench | Data Extraction Studio tests parsing, extraction, and
classification, and drafts a schema from sample files. | Reducto Studio checks results visually and builds multistep
pipelines. | Draw |
| Form filling | The Form API detects, labels, and fills form fields. | The Edit API fills forms from plain-language instructions. | Different approaches |
| Document splitting | The split endpoint finds where each document in a merged file
starts, in the cloud, with a confidence for each boundary. The
Java and Python SDKs do the same on your servers. | The Split endpoint finds document boundaries in the cloud. | Draw |
| Spreadsheets | Reads XLSX workbooks cell by cell. Splits each sheet into tables,
headings, and notes, and keeps tables declared in Excel whole. | Parses cells directly. By default, splits tables longer than 50
rows into smaller chunks and processes hidden sheets, rows, and
columns unless they’re excluded. | Different approaches |
| Async jobs and batches | Async parse, extract, and classify: submit a run and poll for the
result, with up to 15 minutes of processing per run. | Async on every endpoint, with webhooks and a discounted batch
queue. | Reducto |
| API client libraries | Official Python and TypeScript clients for parsing, and an
open-source MCP server for parsing and extraction. | Official Python, JavaScript, and Go SDKs, a CLI, and an MCP
server. | Draw |
| Security and compliance | SOC 2 Type 2 audited. Data retention depends on your plan. | SOC 2 Type 2, a BAA, zero data retention, and EU or Australian
hosting on the Growth plan. | Draw |
Reducto stops at extraction, splitting, and form editing. Nutrient is a full document platform, so the same vendor also powers the human-facing document work your application needs. That means one vendor instead of two; the SDKs are sold separately.
| Nutrient | Reducto | |
|---|---|---|
| Document viewer and rendering | ||
| Annotations and markup | ||
| Redaction | ||
| eSignatures | ||
| Document comparison | ||
| Conversion and generation | ||
| Mobile SDKs | ||
| Accessibility |
Both bill per 1,000 pages: Reducto by product, Nutrient by processing mode.
| Nutrient | Reducto | |
|---|---|---|
| Free usage | 5,000 credits a month, about 277 to 3,333 parse pages in auto, depending on the mode selected for each page | $150 of usage once, about 15,000 pages with r-1 Parse |
| Parsing | $1.50 to $18 per 1,000 pages in auto; $9 in understand; $1 to $18 across explicit modes | $10 per 1,000 pages (r-1 Parse) |
| Schema extraction | $7.50 to $24 per 1,000 pages in auto; $15 in understand; $7 to $24 across explicit modes | $20 per 1,000 pages, $40 for Deep Extract |
| Classification | $1 per 1,000 pages | $7.50 per 1,000 pages |
| Form filling | $2 to $7 per 1,000 pages | $60 per 1,000 pages, $15 for pre-filled pages |
Nutrient prices use the Pro plan, $500 a month for 500,000 credits (Starter costs 18% more). Extraction includes parsing. Auto routes each page to structure, understand, or agentic and bills at that mode’s rate. The lowest explicit-mode rates use text mode, which skips OCR and is not selected by auto. The ParseBench comparison above uses Reducto (Agentic), whose legacy Parse costs $30 to $60 per 1,000 pages at agentic settings; r-1 Parse scores 62.4. Prices cover extraction; the SDKs are sold separately. Full rates: Nutrient pricing and Reducto pricing (checked 23 September 2026).
Extract Studio is a desktop app that runs Nutrient’s extraction engine on your Mac. With an AI model running locally through Ollama or LM Studio, your documents stay on the machine while you compare results. It runs on Apple silicon Macs. You need a Nutrient account, and each run uses Data Extraction credits.
The Data Extraction API covers Reducto’s parse, extract, split, and classify calls with REST endpoints of the same shape. Most of the work is mapping requests and porting schemas.
| Reducto | Nutrient |
|---|---|
| Parse | POST /extraction/parse returns page elements with coordinates,
or Markdown. Start with auto to route each page to structure, understand,
or agentic. |
| Extract and Deep Extract | POST /extraction/extract returns JSON shaped to your schema,
with citations. Use a higher mode for harder documents. |
| Classify | POST /extraction/classify scores each document against
the labels you send. No training needed. |
| Split | The split endpoint finds where each document starts in a merged
file, with a confidence for each boundary. The Java and Python
SDKs do the same on your servers. |
| Edit (form filling) | The Form API detects, labels, and fills form fields. |
| Pipelines | No pipeline builder. Chain the calls in your own code. |
The extract endpoint accepts a subset of JSON Schema: an object root with type, properties, required, items, description, enum, and date formats. Flatten schemas that use $ref, anyOf, oneOf, or validation ranges before you send them. Limits are 128 KB, 2,000 schema nodes, 200 properties per object, 50 enum values per field, and five levels of nesting. See define a schema.
Sign up and get 5,000 free credits every month, with no credit card required.
Send a representative sample through both APIs. Start with auto for per-page routing and measure quality and usage. Choose agentic explicitly to compare the mode benchmarked above; understand costs half the credits where it meets your bar.
Check extracted values against Reducto’s, and route fields marked fuzzy_match or not_found to review.
Move document types over one at a time, once each meets your accuracy bar.
Start on the free plan and test your own documents with 5,000 credits a month. When you’re ready to move a production workload from Reducto, talk to us: Enterprise teams that sign a Data Extraction agreement get 3,000,000 additional credits, about six months of Pro plan usage, to cover the migration.
Parse and extract. Then view, edit, redact, sign, compare, and convert across one platform. Reducto stops at extraction, splitting, and form editing.
On ParseBench, agentic mode scores 83.5 on charts and 77.5 on visual grounding (placing content where it sits on the page), against 73.4 and 67.1 for Reducto (Agentic).
Every extracted field gets a match label, plus its source region and a confidence signal when the value is found on the page, so review logic can route uncertain values instead of trusting them.
The Java and Python SDKs, sold separately, run extraction on your own servers. Web and mobile SDKs put the viewer and editor in your app.
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 edits documents through a REST API and Python, Node.js, and Go SDKs, and chains those steps into pipelines built in Reducto Studio. It uses a multipass pipeline (a layout model, vision language models, and a self-correcting OCR loop), is known for complex-table extraction, and offers SaaS, VPC, and air-gapped on-premises deployment.
Whether Nutrient fits depends on your documents and what you need beyond extraction. Nutrient is a full document platform: parse, extract, split, and classify, plus viewing, editing, redaction, signing, comparison, and conversion across web, mobile, and server SDKs. Every extracted field gets a match label by default. On ParseBench, Nutrient’s agentic mode scores higher than Reducto (Agentic) overall and on charts, visual grounding, and semantic formatting. Reducto (Agentic) scores higher on content faithfulness and tables. Reducto has the edge on webhooks and a discounted batch queue.
If you’re comparing Reducto with other document extraction and parsing tools, the main alternatives are Nutrient, LlamaParse and LlamaExtract, Extend, Unstructured, Docling, Mistral Document AI, and Azure Document Intelligence. Nutrient stands out as a full document platform that covers extraction plus viewing, editing, signing, and conversion, with every extracted field tied back to its source on the page.
Nutrient and Reducto both produce layout-aware, citable output for RAG. On ParseBench tables, agentic mode scores 72.1 and Reducto (Agentic) 80.4. Reducto is the stronger choice when you need webhooks or a discounted batch queue. Nutrient is the better fit when you want structured Markdown across content-heavy documents, grounded output you can check against the page, and a single platform that also views and edits documents.
Reducto charges per 1,000 pages by product: $10 for r-1 Parse, $20 for Extract, $40 for Deep Extract, and $7.50 for Classify, with $150 of free usage once. Auto is Nutrient’s recommended starting mode: it routes each page to structure, understand, or agentic and bills at that mode’s rate. Nutrient bills credits per page: 1 for explicit text parsing, 1.5 for structure, 9 for understand, and 18 for agentic, with schema extraction adding 6 credits per page and 5,000 free credits every month. At the Pro plan rate of $0.001 per credit ($500 a month for 500,000 credits), auto costs $1.50 to $18 per 1,000 pages for parsing and $7.50 to $24 for schema extraction. Across explicit modes, the ranges start at $1 and $7 respectively with text mode, which skips OCR. On the Starter plan ($59 a month for 50,000 credits), every Nutrient figure is 18% higher. Plan prices and pay-as-you-go rates are on the pricing page. Talk to our team for a comparison scoped to your workload.
Yes, Nutrient and Reducto both support self-hosting. The Nutrient Java and Python SDKs run extraction on your own servers, even offline, under an SDK license. Reducto offers hybrid VPC, full 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 whether you want a library inside your application or a platform deployment.
To test Nutrient on your own documents before deciding, use Nutrient Extract Studio for macOS, a desktop app that runs the same extraction engine on an Apple silicon Mac. With an AI model running on that Mac, your documents stay on it. The app needs a Nutrient account and an internet connection to sign in, and runs use Data Extraction credits.
Map Parse to Nutrient’s /extraction/parse, Extract and Deep Extract to /extraction/extract, and Classify to /extraction/classify, port your JSON Schemas, and run a sample through both APIs on the free plan. When you’re ready to move a production workload, talk to us about the enterprise switch offer: 3,000,000 additional credits for teams that sign a Data Extraction agreement.
Yes, Nutrient’s Data Extraction API is the parsing layer of a full document platform. Connect its output to Nutrient’s Document Web Services (DWS) APIs for conversion, redaction, generation, and signing, and to Nutrient SDKs when people need to review, edit, annotate, or approve documents in your application. Reducto focuses on extraction, splitting, and form editing.
EXPLORE
Extend pairs document APIs with a hosted operations layer: saved processors, evaluations, workflows, and a built-in review screen. Nutrient is API-first: grounded extraction you embed in your own product, plus viewing, editing, and signing from the same vendor.
LlamaParse scores higher than Nutrient on ParseBench, LlamaIndex’s own benchmark. Nutrient adds a match label on every extracted field, a viewer to check each citation on the page, and viewing, editing, and signing from the same vendor.
Unstructured.io is a strong RAG-ingestion platform with partitioning, chunking, schema extraction, and 40+ connectors. Nutrient adds a match label on every extracted field, plus viewing, editing, signing, and conversion from the same vendor.
5,000 free Data Extraction API credits per month, with no credit card required. Parse and extract source-grounded data your AI workflows can trust, on one platform.