docbatch.ai
docbatch.ai extracts structured data from PDFs and images in batches of 10 to 10,000 documents. Built for finance and back-office teams handling non-urgent volumes, it runs jobs off-peak and bills one credit per document, from $24.90 per 1,000.
What is docbatch.ai?
docbatch.ai is a web platform that turns documents into structured data, built around one deliberate trade-off: it works in batches instead of in real time. Jobs are queued and executed during off-peak hours, and the site presents that as the reason its unit price sits so far below live extraction APIs — "Same accuracy, same models — you just don't need results in milliseconds."
It accepts PDFs and images (JPEG, PNG, WebP, GIF; the public demo caps files at 10 MB) and returns JSON, CSV or Excel. Documented document types include invoices, receipts, contracts, resumes, forms and medical records, plus any custom type described through a schema. A batch runs from 10 to 10,000 documents, the on-site savings calculator goes up to 50,000 documents a month, and anything above 20,000 credits moves to a quoted Enterprise arrangement. Most jobs finish in one to two hours, with a stated ceiling of 24 hours and an email notification at the end. Accuracy is advertised at 90-98% on clear, well-formatted documents, and every job carries its own accuracy score.
Setting up an extraction takes three steps: upload a sample document and let the AI detect the fields, define the schema in natural language or by selecting areas on the page, then send the batch. No code and no infrastructure are required.
Two things are worth knowing first. There is no public API: "Documentation" and "API Reference" are both marked "Coming soon", and automation currently runs through webhooks. And the service is very young — the domain was registered on 1 February 2026 and the Wayback Machine holds no capture of it at all. The homepage counters (documents processed, accuracy, savings) animate up from zero without publishing a single absolute figure, the "4.8/5 user satisfaction" carries no source or review count, and the two testimonials are signed with a first name and an initial.
The publisher's identity is just as unsettled: the footer reads "docbatch.ai by Naviria Labs", while the About page is the corporate page of Naviria Labs, a technology agency founded in 2025 that never mentions docbatch.ai. The site is a single-page app, so any unknown URL returns HTTP 200 with a router-level "404 Page Not Found" message.
What it does
- Extract structured data from PDFs and images in batches of 10 to 10,000 documents
- Define an extraction schema in plain language or by selecting fields visually on a sample document
- Let the AI detect the fields on its own from a single sample document
- Download the results as JSON, CSV or Excel
- Read the accuracy score attached to every job
- Retry failed documents and browse the history of past batches
- Fire a webhook when a batch completes to chain the next step
When to use docbatch.ai / When not to
A quick filter to help you decide if docbatch.ai is the right fit.
When to use docbatch.ai
- Accounts payable and accounts receivable teams clearing recurring stacks of invoices, receipts and expense claims.
- Finance controllers replacing manual keying: one homepage testimonial describes 3,000 invoices a month going from two days of work to two hours.
- Back-office and operations teams with no developer available, since the extraction schema is written in plain language or drawn directly on a sample document.
- Small budgets that cannot sign up for a subscription: credits are bought pack by pack, never expire, and start at $24.90 for 1,000 documents.
- Teams with predictable, non-urgent document flows such as contracts, resumes or forms, who can wait one to two hours for a batch and can start from the ready-made invoice, contract and resume parsers.
When not to use docbatch.ai
- Anyone who needs an answer in real time: batches run off-peak, typically in one to two hours and up to 24.
- Developers looking to call an API: "Documentation" and "API Reference" are both marked "Coming soon", and the vendor's own comparison table lists "API access: Coming soon".
- Teams working from handwritten or degraded scans: the 90-98% accuracy range is claimed only for clear, well-formatted documents.
- Regulated buyers who need a signed DPA, a published sub-processor list, a certification held by the vendor itself (the SOC 2 Type II cited belongs to the cloud providers) or a fully identified counterparty, since the legal pages show no postal address, no legal form and no registration number.
- Organisations with an EU data residency requirement: the privacy policy places servers and service providers in the United States, with no regional option.
How to use docbatch.ai
A typical end-to-end flow, from setup to results.
- Try the public invoice parser first: one invoice per session, no account, no card, fixed schema.
- Create an account to unlock 20 free credits, still without entering a payment card.
- Upload a sample document (PDF or image) and let the AI detect the fields automatically.
- Define the extraction schema in natural language, or select the fields visually on the document.
- Upload the batch: 10 to 10,000 documents sharing the same schema.
- Wait for the completion email; most jobs land within one to two hours, 24 at the outside.
- Download the results as JSON, CSV or Excel and check the accuracy score attached to the job.
- Retry the failed documents and reuse the batch history for the next run.
- Set up a webhook to chain the extraction into a downstream process; the integrations page announces Google Sheets, Airtable, Notion and Zapier.
- Contact sales above 20,000 credits or 100,000 documents a month for volume pricing, custom ERP/CRM and webhook integrations, a dedicated account manager and an SLA.
Pros & Cons
Pros
- Very low unit price, published openly: $0.0249 per document at entry, down to $0.0150 at the 20,000-credit tier.
- No subscription on the pricing page and credits that never expire, so a pack can be bought once and drawn down at your own pace.
- 20 free credits on sign-up without a payment card, on top of a genuinely usable public demo (one invoice per session, no account).
- JSON, CSV and Excel exports included from the free tier onwards.
- No code and no infrastructure to set up: the extraction schema can simply be described in plain language.
- Explicit and unconditional zero-training commitment, with uploaded documents deleted automatically after seven days.
- Unusually open documentation for a young service: detailed privacy policy (legal bases, rights article by article, SCCs, 72-hour breach notification), public pricing grid, stated accuracy range and turnaround times, and five comparison pages naming eight competitors.
Cons
- No immediate results, by design: one to two hours in most cases, 24 hours at the outside.
- No API and no documentation — both are marked "Coming soon" in the footer and in the vendor's own comparison table.
- Incomplete publisher identity: no postal address, no legal form and no registration number anywhere in the legal pages.
- Pricing contradiction: the pricing page states "No subscriptions" while section 7 of the terms describes a monthly subscription with automatic renewal and cancellation.
- Unstable claims: savings are quoted "up to 50%" on the homepage and FAQ but "up to 70%" in the hero and comparison pages, and deletion is promised "after successful processing" on the homepage while the privacy policy sets seven days.
- Thin support and compliance surface: the help centre serves no content without JavaScript, live chat is reserved for a "Pro" tier that does not exist in the pricing grid, no DPA is offered to customers, no sub-processor list is published, and the SOC 2 Type II cited belongs to the cloud providers.
- Very young, US-hosted service: domain registered on 1 February 2026, no Wayback capture, no absolute usage figures, no EU data residency option, no declared interface or processing language, and footer social icons that all point to href="#".
Pricing & Plans
Billing is prepaid and usage-based: one credit equals one processed document. A free entry point exists but is not a permanent free plan — 20 credits are granted once at sign-up, at no cost and without a payment card, and the public demo processes one invoice per session without an account. The lowest paid price point is USD 24.90 for 1,000 credits, i.e. $0.0249 per document, followed by 5,000 credits at USD 99.90 ($0.0200 per document, announced "Save 20%" and flagged "Best Value") and 20,000 credits at USD 299.90 ($0.0150 per document, announced "Save 40%"). Credits carry no expiry date, the pricing page states "No subscriptions, no hidden fees", and a discount code may be applied at checkout. Above 20,000 credits, pricing moves to an Enterprise quote. Payments are handled by Stripe; refunds are assessed case by case, with none granted in principle for a period already started or for unused credits. One contradiction should be noted: section 7 of the terms describes a monthly subscription with automatic renewal, cancellation and 30 days' notice on price changes, which does not match the "No subscriptions" claim on the pricing page.
- Free — 20 credits — USD 0 — 20 documents included
- all export formats and full platform access
- no payment card required
- a one-off grant at sign-up
- not a recurring free plan
- 1
- 000 credits — USD 24.90 — $0.0249 per credit — presented as "Great for testing and small projects" — no expiry date
- 5
- 000 credits — USD 99.90 — $0.0200 per credit — announced "Save 20%" and flagged "Best Value" — presented as "Best for growing businesses"
- 20
- 000 credits — USD 299.90 — $0.0150 per credit — announced "Save 40%" — presented as "Ideal for high-volume operations"
- Enterprise — quote only — above 20
- 000 credits or 100
- 000 documents per month — volume pricing
- dedicated account manager
- custom ERP/CRM and webhook integrations
- guaranteed SLA
- the homepage names the three paid tiers Starter
- Growth and Scale
- while the pricing page identifies them only by their credit count
Data, GDPR & hosting
A consolidated view of how docbatch.ai handles your data.
GDPR overview
GDPR is addressed explicitly rather than merely claimed. The privacy policy and terms, both dated 17 March 2026, designate a controller — "Company: docbatch.ai", privacy@docbatch.ai — named without any legal form or postal address. Legal bases are listed article by article (6(1)(a) consent, 6(1)(b) contract, 6(1)(c) legal obligation, 6(1)(f) legitimate interest), as are the rights of access, rectification, erasure, restriction, portability and objection (articles 15 to 21), with a 30-day response time and self-service export from the dashboard. Transfers outside the EEA, the UK and Switzerland rely on Standard Contractual Clauses; breach notification cites 72 hours; the minimum age is 16. Gaps: no DPO, no Article 27 representative, no DPA offered to customers, no published sub-processor list, a dead "Security" link in the footer, and Do Not Track is not honoured.
Who owns the data?
Section 6.2 of the terms is explicit: you keep full ownership of the documents and data you upload. Uploading grants docbatch.ai a limited, non-exclusive and temporary licence to process that content for the sole purpose of delivering the service, and that licence ends as soon as the content is deleted from its systems; the publisher states it claims no ownership rights over your content. The reverse applies to the product itself: under section 6.1, the platform, its content, features, design, logos and trademarks belong to docbatch.ai. You can export your data from the dashboard at any time, and before closing your account (terms 11, privacy 11).
Reuse rights
Because ownership stays with you, the extracted JSON, CSV or Excel output can be reused, redistributed or fed into another system without asking permission. On the publisher's side, section 3 of the privacy policy carries an unconditional zero-training commitment: documents are not used to train docbatch.ai's models or those of its infrastructure providers, Google Gemini included, and are processed in isolation solely to produce the requested output. Personal data is not sold. Sharing is limited to five cases: technical service providers, the AI processing provider, legal obligations, protection of rights and a business transfer. Payments go through Stripe, which means full card numbers are never stored by the publisher; audience measurement goes through Google Analytics; marketing emails require consent that can be withdrawn. Section 13 adds that no automated decision producing legal effects is taken and that the AI output is delivered for human review. One inconsistency is worth flagging: the homepage advertises "Powered by leading AI" alongside the OpenAI, Anthropic, Google Cloud, AWS and Meta names, and the comparison page claims multi-provider AI, while the privacy policy names the Google Gemini API as the only recipient of your documents.
Data retention & training
Hosting summary
The privacy policy states that data may be transferred to and processed outside your country of residence, "including the United States, where our servers and service providers are located". No other hosting country is named, no EU region is offered and there is no data residency option. Transfers from the EEA, the UK and Switzerland rely on Standard Contractual Clauses approved by the European Commission, data processing agreements with all sub-processors, and an assessment of the level of protection. Stated security measures include TLS 1.2+ in transit, AES-256 at rest, role-based access control, internal multi-factor authentication, continuous monitoring and an incident response plan. The site notes that servers run on "SOC 2 Type II certified cloud providers": that certification belongs to those providers, not to docbatch.ai. Document processing is subcontracted to the Google Gemini API, payments to Stripe and audience measurement to Google Analytics, and no sub-processor register is published. Independently of the site's own statements, docbatch.ai resolves to 34.111.179.208, an anycast address in AS396982 (Google LLC) geolocated in the United States — which describes the web server, not necessarily where documents are stored.
Things to keep in mind
Risks and trade-offs to weigh before adopting docbatch.ai.
- Publisher identity is the first thing to check. The terms and the privacy policy contract in the name of "docbatch.ai", with no legal form, no registration number and no postal address; the footer reads "docbatch.ai by Naviria Labs"; and the About page is in fact the corporate page of Naviria Labs, a technology agency (AI, cloud, FinOps, web, mobile, cybersecurity) founded in 2025, which never mentions docbatch.ai and carries the site's only postal trace (Rivas, Madrid, Spain), a +34 phone number and info@navirialabs.com. Buyers who need to know who they are contracting with should get that clarified in writing first.
- The pricing story contradicts itself. The pricing page asserts "No subscriptions, no hidden fees", while section 7 of the terms describes a monthly subscription with automatic renewal, cancellation and 30 days' notice on price changes. Read the terms before assuming a one-off purchase.
- Savings and retention figures move from page to page. Savings are "up to 50%" on the homepage and FAQ, "up to 70%" in the hero and comparison pages, and 69% in the calculator's 1,000-document scenario. Deletion is promised "after successful processing" on the homepage but set at seven days after upload in the privacy policy. Neither is a small gap if the number is what convinced you.
- Where your documents actually go is not fully settled. The homepage displays OpenAI, Anthropic, Google Cloud, AWS and Meta, and the comparison page claims multi-provider AI, yet the privacy policy names only the Google Gemini API as a recipient of your documents. If provider choice matters for your compliance, ask for it in writing.
- Security and compliance signals are weaker than they look. The SOC 2 Type II mentioned belongs to the cloud providers, not to the publisher; the footer "Security" link is a dead anchor; no DPA is offered to customers and no sub-processor list is published; servers and service providers are in the United States with no EU residency option. Live chat is advertised for "Pro and Enterprise" customers, but no "Pro" tier exists in the pricing grid, and the help centre returns no content without JavaScript.
- Almost none of the published numbers can be verified. The homepage counters for documents processed, accuracy and savings animate up from zero without any absolute value, the "4.8/5 user satisfaction" has no source and no review count, and the two testimonials are anonymised to a first name and an initial. Combined with a domain registered on 1 February 2026, no Wayback capture whatsoever, and an API and documentation still "Coming soon", this is a service to pilot rather than to standardise on.
- Two everyday traps for the human in the loop. The site is a single-page app that returns HTTP 200 on any unknown URL with a router message reading "404 Page Not Found", so a mistyped or outdated link can look like a valid page. And the extraction output is explicitly provided for human review, with 90-98% accuracy claimed only on clear, well-formatted documents: batches of scanned or handwritten paperwork need spot-checking, because trusting a spreadsheet that arrived by email is far easier than re-reading it.
Setup & Integrations
Technical difficulty
Getting started requires no technical skill. The public invoice parser accepts a document immediately, with no account and no card; signing up adds 20 credits and full access, still card-free. The extraction schema is written in plain language, drawn on a sample document, or detected by the AI, and three steps separate a sample from a running batch. Results download as JSON, CSV or Excel, so no integration work is needed. The one genuinely technical step is configuring a webhook for automation; there is no API to integrate, since it does not exist yet. A business user is enough.
Deployment
Integrations
Behind docbatch.ai
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement docbatch.ai.
Frequently asked questions
What is a credit?
Is there a free trial?
Do credits expire?
How long does a batch take?
Which files and document types can be processed?
How accurate is the extraction?
Are my documents used to train AI models?
How long are my documents kept?
Is there an API?
How do I exercise my GDPR rights?
Should you pick docbatch.ai?
docbatch.ai is unusually clear about the deal it offers: you give up immediacy and get a price live extraction APIs cannot match. Batches of 10 to 10,000 documents run off-peak, most land within one to two hours, and one credit equals one document from USD 24.90 per 1,000, with no subscription on the pricing page and credits that never expire. For a finance or back-office team sitting on recurring, non-urgent invoices, receipts or contracts, that is a serious offer, and the free entry point — a public demo with no account, then 20 credits on sign-up without a card — makes testing cheap.
The privacy posture is stronger than the operation's size would suggest: an unconditional zero-training commitment, automatic deletion of uploaded documents after seven days, legal bases and data subject rights set out article by article, and Standard Contractual Clauses for transfers.
The reservations concern maturity and consistency rather than the idea. The domain was registered on 1 February 2026 and the Wayback Machine holds no capture at all; the API and its documentation are "Coming soon"; the help centre serves nothing without JavaScript. The publisher's identity is the main open question: the legal pages contract in the name of "docbatch.ai" with no legal form and no address, the footer credits Naviria Labs, and the About page belongs to that agency without a single mention of the product. Several claims also disagree with one another — 50% versus 70% savings, "No subscriptions" versus a subscription clause in the terms, immediate deletion versus seven days, live chat for a "Pro" tier that is not sold.
A strong fit for non-urgent batches on a small budget, provided you test it yourself and need neither API access, nor EU data residency, nor contractual guarantees from a fully identified vendor.
- Choosing a selection results in a full page refresh.
- Opens in a new window.