Complete AI Training

AI app for finance · no coding needed

Document data extraction and validation portal

Reduce manual re-keying while keeping a named reviewer accountable for every extracted field.

Made for: Finance and operations teams processing invoices, receipts and forms

What Document data extraction and validation portal looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Invoices, receipts and forms arrive in mixed formats and staff re-key the same data into finance systems.

What it gives you

Reviewer-approved structured records linked to source pages

What you give it

Permitted documentsextraction templatesvalidation rulessystem schemas

Build your own version of Extracta.ai, FormX.ai and more

One app with what these 4 AI tools do, yours to keep and change: Extracta.ai, FormX.ai, TurboDoc, Cradl AI.

Everything these tools do, in one app

  • AI-powered data extraction Automatically extracts structured data from unstructured documents using artificial intelligence.Found in Extracta.ai, FormX.ai, TurboDoc and 1 more
  • Custom extraction templates Allows users to create and customize templates for extracting specific data fields from documents.Found in Extracta.ai, FormX.ai, Cradl AI
  • No-code interface Enables users to build and customize extraction workflows without programming.Found in Extracta.ai, Cradl AI
  • Multiple document formats Supports extraction from various document types such as invoices, receipts, contracts, and forms.Found in Extracta.ai, FormX.ai, TurboDoc and 1 more
  • Scanned and digital files Handles both scanned images and digital documents.Found in Extracta.ai, FormX.ai
  • Mobile scanning Captures data from physical documents using a mobile device.Found in FormX.ai
  • API integration Integrates with existing systems via API to import structured data.Found in FormX.ai, Cradl AI
  • User-friendly dashboard Provides a web portal or dashboard for managing, monitoring, and analyzing extracted data.Found in FormX.ai, TurboDoc
  • Gmail integration Captures invoices from Gmail and sends structured data back via email.Found in TurboDoc
  • Human-in-the-loop validation Allows users to review and correct uncertain AI predictions to ensure accuracy.Found in Cradl AI
  • Workflow builder Enables creation of automations with custom rules to streamline document processing.Found in Cradl AI
  • Custom AI models Allows training and fine-tuning of AI models for specific document layouts.Found in Cradl AI
  • Preconfigured models Offers ready-to-use extraction models for common document types.Found in FormX.ai
  • Continuous accuracy improvement Improves extraction accuracy over time through real-world feedback.Found in FormX.ai
  • Vision and LLM switching Allows switching between Vision and Large Language Model technologies for extraction.Found in FormX.ai
  • Security and compliance Ensures data security with encryption and compliance certifications like ISO 27001 and GDPR.Found in Extracta.ai
  • Automated invoice processing Automatically extracts and organizes data from invoices, reducing manual entry.Found in TurboDoc

How it works, step by step

  1. Capture documents from upload, email, mobile scan and watched folders
  2. Classify document type and route to the matching template
  3. Extract header and line-item fields with AI
  4. Apply custom extraction templates and field rules
  5. Build and edit templates and workflows without code
  6. Handle scanned images and digital files
  7. Switch between vision and language model extraction per template
  8. Flag low-confidence fields for human review
  9. Let reviewers correct values and confirm source pages
  10. Validate totals, tax, dates and duplicate checks
  11. Push approved records to finance systems via API
  12. Capture invoices from Gmail and return structured data by email
  13. Train and fine-tune models on approved layouts
  14. Use preconfigured models for common document types
  15. Track accuracy over time from reviewer corrections
  16. Compare the reviewed result with the recorded baseline and value assumptions
  17. Export a versioned reviewer-approved structured records linked to source pages with source references and unresolved questions

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 Document data extraction and validation portal 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 Document data extraction and validation portal 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 links4 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
  • prompt-vps.mdThe same build on your own server (Docker)24 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
  • demo/index.htmlThe working demo on sample data195 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

Reduce manual re-keying while keeping a named reviewer accountable for every extracted field. For finance and operations teams processing invoices, receipts and forms, convert permitted documents, extraction templates, validation rules and system schemas into reviewer-approved structured records linked to source pages. The benefit is a testable hypothesis, measured through accepted records per processing hour and corrections after posting; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted documents, extraction templates, validation rules and system schemas, then follow this sequence: 1. Capture documents from upload, email, mobile scan and watched folders. 2. Classify document type and route to the matching template. 3. Extract header and line-item fields with AI. 4. Apply custom extraction templates and field rules. 5. Flag low-confidence fields for human review. 6. Validate totals, tax, dates and duplicate checks. 7. Push approved records to finance systems via API. Resolve uncertain cases with qualified reviewers, approve reviewer-approved structured records linked to source pages, and measure accepted records per processing hour and corrections after posting against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed document set and approved finance schema; final coding, tax treatment and posting decisions remain with finance staff. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve document integrity, source attribution, field accuracy and usage permissions. Finance staff approve substantive changes and posting scope. One fixed document set and approved finance schema; final coding, tax treatment and posting decisions remain with finance staff. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One fixed document set and approved finance schema; final coding, tax treatment and posting decisions remain with finance staff. Implement one approved input format, a bounded representative case set and the first two task modules: capture documents from upload, email, mobile scan and watched folders; classify document type and route to the matching template. Support the third module with operator review: extract header and line-item fields with AI. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Client-owned documents, authorized email inboxes and permitted finance systems. Cloud document storage, accounting and ERP import/export and email destinations. Start with file exchange and validate destination specifications before promising direct posting. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Document intake and templates, Editable extraction review, Export and reconciliation. Use a queue of incoming documents, a large central page viewer with field overlays, and a right-hand panel for extracted values, confidence, validation rules and comments. Let users compare original page and extracted record side by side. Display received, needs review, approved and exported states. Provide a reconciliation view linking each record to its source page and destination system. Make the task-specific outcome reviewer-approved structured records linked to source pages visible beside its evidence, review state and value baseline.