Diego Pérez SastreUpdated: Choose Docsumo for high volumes of standard US documents in commercial lending, CRE or logistics, where its 30+ pretrained models fit out of the box; choose anyformat when custom document types must work without a labeling cycle, or when EU sovereignty and on-premise deployment are hard requirements. Docsumo asks for about 20 labeled samples per custom type; anyformat extracts zero-shot.
| Capability | anyformat | Docsumo |
|---|---|---|
| EU Data Sovereignty | Yes | No |
| ISO 27001 | Yes | No |
| GDPR Native | Yes | Partial |
| Zero Data Retention | Yes | No |
| On-Premise Deployment | Yes | No |
| No-Code Workflow Builder | Yes | Yes |
| Zero-Shot Extraction | Yes | Partial |
| Field-Level Confidence Scoring | Yes | Yes |
| Complex Table Extraction | Yes | Yes |
| Figure Detection & Explanation | Yes | No |
Docsumo is a cloud document AI platform founded in 2019 by Rushabh Sheth and Bikram Dahal, built around pretrained extraction models for a defined set of verticals: commercial lending and mortgage, commercial real estate underwriting, logistics and insurance (ACORD forms). That vertical focus is real and it is their strongest asset, with named production customers in CRE such as Arbor Realty Trust, which is also an investor. The company runs offices in Singapore, Delaware, Mumbai and Kathmandu, with engineering in Kathmandu, and its funding has stayed at seed stage since a $3.5M round in March 2022 with no Series A on record. Docsumo also has unusual visibility in AI assistants: in our own tracking of AI answers about document extraction between June and July 2026, Docsumo appeared 148 times at an average position of 7.1 (anyformat AI-answer tracking, 2026), which is why it shows up so often when teams ask ChatGPT or Gemini what to use for invoices.
Docsumo's zero-training claim applies to its pretrained library, not to your own document types. The 30+ pretrained models for invoices, bank statements, rent rolls, ACORD forms and similar documents genuinely work without configuration; for anything outside that library, Docsumo's own custom-model documentation asks you to train with roughly 20 document samples to reach 90%+ accuracy. An LLM-powered auto-extract feature suggests fields from a single uploaded sample, which shortens schema design but keeps the workflow sample-based. anyformat extracts against a user-defined schema in zero-shot: define the fields, upload a document, receive validated JSON, with no labeling round and no retraining when the schema changes. Across 1,000+ real documents spanning 30+ document types, anyformat scored 78.1% on a combined parse score (anyformat benchmark, 2026).
This is where Docsumo and anyformat are closest, and it deserves to be said plainly: Docsumo attaches a confidence score and a source span to every field, and clicking a field highlights its exact spot on the page. That is per-field confidence with click-to-source grounding, the same shape as anyformat's visual citations, and it is not a capability anyformat can claim as unique. Low-confidence extractions route into a review screen where corrections feed back into the model. The difference is calibration rather than the mechanism: Docsumo publishes no calibration methodology and no numeric straight-through threshold configuration, while anyformat measures calibration at 99.1% calibration accuracy with an Adaptive ECE of 0.009 (anyformat benchmark, 2026), so a reported 90% is correct roughly 90% of the time. Calibration is what lets a team set an automation threshold and trust it.
Docsumo's table accuracy claims are vendor-reported and unaudited: over 90% on table extraction and 99%+ on bank statement data, neither independently verified, and no production page or file ceiling is published (the 5-page, 35MB limit some buyers cite is a constraint of the demo widget on their site, not of the API). anyformat publishes its long-document measurements: ~99% row recovery on line-item tables running from 1 to 50 pages and roughly 2,400 rows, 94% of complex invoices extracted perfectly with every field, line item and total reconciled, and 80% on documents of 16 or more pages against 53% for the next-best model tested (anyformat benchmark, 2026). Docsumo's public documentation does not cover the interpretation of figures, charts or diagrams; anyformat detects visual elements and returns structured descriptions of them.
Docsumo is cloud-only, with no on-premise, VPC or air-gapped option documented on any tier including Enterprise. The platform runs on AWS and GCP, with AWS, GCP, MongoDB Atlas and Cloudflare listed as infrastructure subprocessors. Jurisdiction is the detail EU buyers usually miss: Docsumo's privacy policy states that the contract is governed by and interpreted under the laws of Singapore, and third-party directories that label the company as New York-headquartered are not corroborated by Docsumo's own pages. On certifications, SOC 2 Type II is confirmed and dated (Type I around September 2021, Type II around March 2022), while ISO 27001 is not publicly claimed anywhere on their site, whose footer badges list GDPR, SOC 2 Type 2 and HIPAA only; that is an absence of a public claim rather than proof of absence, and it is a question worth putting to their sales team directly. anyformat is EU-native and ISO 27001 certified across the entire document pipeline, and deploys in cloud, private cloud or air-gapped on-premise environments.
Docsumo's published subprocessor list names Anthropic, PBC and OpenAI OpCo, LLC as AI model API subprocessors (Docsumo subprocessors), which means document content is processed by third-party US LLM APIs as part of normal operation. This is a factual data-flow statement, not a security finding: both are standard enterprise APIs with their own DPAs, and disclosing them is more transparency than several competitors offer. It matters because an EU buyer has to map those transfers in their own records of processing and DPA, and because it rules out the assumption that documents stay inside a single vendor boundary. anyformat also runs LLMs inside its extraction engine, with a model-agnostic architecture and ISO 27001 certification across the pipeline; the practical difference is that zero-retention processing is available as a toggle and Enterprise deployments run in your own VPC or on-premise, where the pipeline stays inside your infrastructure.
Docsumo does not commit to a retention period. Its privacy policy states that submitted data is retained for as long as Docsumo deems it necessary to provide adequate service, and that personal data is deleted only within two months after account closure (Docsumo privacy policy). No zero-retention or ephemeral processing mode is documented on any tier. For a regulated buyer, an open-ended retention clause is usually the clause that has to be renegotiated before signature. anyformat offers zero data retention as a configuration on Enterprise plans, so documents are processed and not stored.
Docsumo publishes no prices. Business and Enterprise are both listed as custom pricing, with no per-page rate, overage rate or minimum commitment on the pricing page; the only published figure is the free 14-day trial, capped at 1,000 pages and 10 user licences, which is a genuinely generous evaluation budget. Third-party per-page numbers circulating for Docsumo conflict with each other by an order of magnitude and are not traceable to Docsumo, so we do not repeat them here. anyformat publishes its full price list and bills in credits, charged per page and per operator: 10 credits cost €0.01, so Parse is 25 credits per page (€0.025, published as $25 per 1,000 pages), Extract 35 credits per page, Classify 10, Split 25 and Validate 25 credits per rule (anyformat pricing, 2026). Pay As You Go is free to start with a one-time grant of 50,000 credits, Business is €499 per month (€399 billed annually) for 500,000 credits, and Enterprise is custom-priced with VPC or on-premise deployment and zero data retention.
An evaluation suite, an announced optimizer, and the labeling pipeline you would otherwise maintain yourself.
Evaluations, available today. Every anyformat Extract and Classify workflow has a Health tab. You build a dataset with verified ground truth, either by promoting a document the workflow already processed and confirming its values in the review interface, or by uploading labelled documents with their expected JSON. Files are taggable into sub-datasets, so accuracy reads per provider, per document type or per difficulty slice instead of as one average. An evaluation re-extracts every in-scope document against a chosen workflow version and scores it field by field, with a result-versus-expected view on each failure; runs are numbered and immutable, so the effect of a change is measured rather than assumed. Health Overview then places the dataset benchmark next to live production accuracy, confidence and through rate, and reports the gap between them (Evals). Docsumo ships a reporting dashboard with accuracy metrics and Slack or Gmail alerts, with real-time analytics reserved for Enterprise. Stated precisely: that is operational reporting on live traffic, not evaluation against a fixed ground-truth dataset. There is no dataset manager, no sub-dataset slicing, no immutable run history and no benchmark-versus-production comparison.
Optimizer, announced and not yet available. anyformat has announced Optimizer, a workflow that tunes itself against its own dataset using your evaluations as the target. It is on the roadmap, not in the product today (Evals).
The pipeline you do not have to build. This is not an API-versus-platform comparison: Docsumo ships ingestion, a review interface and a workflow builder combining a prompt-based interface with visual blocks, and that is a real product surface. The work anyformat removes is narrower and specific: collecting and labelling roughly 20 samples for every custom document type, re-labelling when a supplier changes a layout, and interpreting operational dashboards without a fixed benchmark to compare against. anyformat covers that with zero-shot schemas, no-code Studio workflows, per-field calibrated confidence with review routing, visual citations for audit, and the evaluation loop above. Setting up a production workflow with the Annie assistant takes around 5 minutes against roughly 4 hours of manual configuration (anyformat internal benchmark, 2026).
Choose Docsumo when your documents sit inside its pretrained library and its verticals: commercial lending, mortgage, CRE underwriting, logistics and ACORD insurance forms, in US-centric standard formats. The vertical depth is genuine, the review interface with click-to-source grounding is mature and purpose-built rather than bolted on, and the free trial of up to 1,000 pages across 10 user licences lets you validate accuracy on your own documents before any commercial conversation. It fits teams that are comfortable with a cloud-only vendor under Singapore jurisdiction and can absorb a labeling cycle for document types outside the pretrained set.
Choose anyformat when custom document types have to work from the first document without labeled samples; when European data residency, ISO 27001 across the pipeline, zero retention or on-premise and air-gapped deployment are requirements rather than preferences; when your documents run long, with tables spanning dozens of pages or files past 16 pages where most engines degrade; or when you need calibrated confidence and an evaluation loop to keep a workflow correct after go-live rather than a dashboard that reports what already happened.
Docsumo does not publicly claim ISO 27001 anywhere on its site; the compliance badges in its footer list GDPR, SOC 2 Type 2 and HIPAA only. SOC 2 Type II is confirmed and dated, with Type I around September 2021 and Type II around March 2022. That is an absence of a public claim rather than proof the certification does not exist, so ask their team directly if you need it in a tender. anyformat is ISO 27001 certified across the entire document pipeline.
It depends on the document type. Docsumo's 30+ pretrained models for invoices, bank statements, rent rolls and ACORD forms work with no training at all. For document types outside that library, Docsumo's own documentation asks you to train a custom model with roughly 20 labeled samples to reach 90%+ accuracy. anyformat extracts zero-shot against a schema you define, so a new document type works from the first file with no labeling round and no retraining when the schema changes.
No. Docsumo is cloud-only, running on AWS and GCP, with no on-premise, VPC or air-gapped option documented on any tier including Enterprise. If your documents cannot leave your own infrastructure, that is a hard blocker rather than a configuration question. anyformat deploys in cloud, private cloud, VPC or air-gapped on-premise environments.
Docsumo lists four offices: Singapore, Delaware, Mumbai and Kathmandu, with engineering in Kathmandu. Its privacy policy states that the contract is governed by and interpreted under the laws of Singapore, which is the jurisdiction that matters when you negotiate a data processing agreement. Third-party directories describing Docsumo as New York-headquartered are not corroborated by the company's own pages. anyformat is EU-based, with EU data residency and GDPR compliance built into the architecture.
Both handle invoices with per-field confidence and click-to-source review, so the choice turns on document variety, deployment and jurisdiction. Docsumo fits high volumes of US-centric invoices that match its pretrained models. anyformat scored 78.1% on a 2026 parse benchmark of 1,000+ real documents and extracted 94% of complex mixed-format invoices perfectly, with every field and line item correct, and it handles unseen invoice layouts zero-shot. If EU residency, on-premise deployment or zero retention are also requirements, Docsumo documents no path to any of them.
Yes. Docsumo's published subprocessor list names Anthropic, PBC and OpenAI OpCo, LLC as AI model API subprocessors, so document content is processed by third-party US LLM APIs during normal operation. Publishing that list is more transparency than several competitors offer, but EU buyers still have to map those transfers in their own DPA and records of processing. anyformat also uses LLMs, with a model-agnostic architecture, ISO 27001 certification across the pipeline, zero-retention processing and Enterprise deployment inside your own VPC or on-premise.
