Complete AI Training

AI app for finance · no coding needed

Financial document extraction API

Field-level provenance and schema validation for a narrow document niche.

Made for: Software vendors processing business financial documents

What Financial document extraction API looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Document formats vary and break fixed extraction rules.

What it gives you

Structured document data with source references

What you give it

Defined document typescustomer field schemas

How it works, step by step

  1. Define extraction schemas
  2. Capture source coordinates
  3. Validate field formats
  4. Flag uncertain values
  5. Support correction feedback
  6. Deliver structured responses

What you see on screen

  • Schema designer
  • extraction review
  • API usage

Build it yourself with your AI system

Build this app yourself, no coding needed

Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.

Sign in to see how to build it yourself

Build a quick version to try, or get the full app pack for Financial document extraction API with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.

Sign in Become a member

4 Have it built for you days to a few weeks

Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Financial document extraction API with you.

Have Nexibeo build it

What's in the app pack

Included in the Complete AI Training membership.

  • The building instructions your AI follows, step by step
  • The questions your AI will ask you about your business before it starts
  • A clickable demo you can open in your browser, to see how it should work
  • A detailed blueprint of the screens, the information it keeps and the checks it runs

Become a member to get the app packAlready a member? Sign in

The files, for the technically curious
  • START-HERE.mdHow to build it with your own AI (read first)3 KB
  • README.mdOverview and links1 KB
  • questions.mdQuestions to answer before you build3 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare23 KB
  • prompt-vps.mdThe same build on your own server (Docker)23 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
  • demo/index.htmlThe working demo on sample data210 KB

Questions

Do I need to know how to code?

No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.

What does it cost?

The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.

How long does it take?

The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.

Can I change it to fit my business?

Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.

More detailsHow the AI works, safeguards and what to build first

For software vendors processing business financial documents, turn defined document types and customer field schemas into structured document data with source references. Address the recurring problem: document formats vary and break fixed extraction rules. The pilot measures field accuracy and cost per accepted document against the buyer's current method, before the larger build.

Choose the request type, collect declared facts and required documents, extract relevant fields, show missing or inconsistent information, let the submitter correct it, and route the complete package to an authorized reviewer. Start with defined document types and customer field schemas and finish with structured document data with source references.

How the AI works

Classify submitted material, extract candidate fields and draft clarification questions. Deterministic rules test required fields and formats. Keep uncertain extraction visible and preserve the original statement. Do not infer missing material facts.

Safeguards

Reconcile calculations to approved records. Keep proposed entries and payment actions under finance-team control. Never invent missing financial inputs. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

What to build first

Begin with software vendors processing business financial documents and one recurring use case. Build the first two modules: define extraction schemas; capture source coordinates. Provide operator assistance for the third module: validate field formats. Deliver structured document data with source references through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.

What it can connect to

Accounting exports, invoice records and finance review processes. Case management, customer records, document storage and notification systems. Begin with an exportable review pack before automating destination writes. These are candidate integration categories, not verified supported connectors.

The screens in detail

Give submitters a mobile-friendly step-by-step form with document uploads and a visible completeness checklist. Staff see a queue with missing items and extracted fields. Place the original document beside each uncertain value. Show submitted, clarification required and ready-for-review states. In this product, the first view is schema designer, followed by extraction review and API usage.