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BigTree108

AI document processing services: OCR and data extraction

AI document processing services: invoices, receipts, purchase orders, contracts, identity documents, claims, application forms and bank statements turned into structured data with OCR and multimodal language models, validated against your rules, checked by a person where confidence is low and posted to your ERP, CRM or database, on Azure Document Intelligence, Amazon Textract, Google Document AI or open-weight models, with dedicated document AI developers for your team or a project delivered end to end.

Document processing we build

  • Invoices and receipts

    Supplier, amounts, tax, line items and order numbers extracted, matched to purchase orders and deliveries, and posted to Xero, QuickBooks, NetSuite, Dynamics 365 or your ERP once the checks pass.

  • Contract analysis

    Parties, dates, renewal terms, liabilities and unusual clauses extracted and compared with your standard positions, each finding linked to the clause it came from.

  • Identity and onboarding documents

    Passports, ID cards, proofs of address and company documents read and checked for consistency during customer onboarding, with the decision left to your compliance team.

  • Claims and forms

    Insurance claims, applications and handwritten forms digitised, classified and routed, with missing information requested automatically.

  • Classification and splitting

    Mixed batches of scans and emails sorted by type, split into separate documents and sent down the right path without a person opening each one.

  • Tables and complex layouts

    Bank statements, price lists and technical documents with multi-page tables, stamps and handwriting read by layout-aware models and checked against totals and cross-references.

  • Human review

    A review screen showing the document beside the extracted fields, where a person corrects what is wrong, and the corrections feed the next round of evaluation.

  • Accuracy measurement

    Accuracy measured per field on a labelled sample of your own documents before go-live, and tracked in production so a new supplier layout is noticed the day it arrives.

  • Private processing

    Documents processed in your own cloud account, with open-weight models where documents must not leave it, and retention set to your policy.

Hire document AI developers

  • Dedicated document AI developers

    Document AI developers who join your team full time, work in your tools and process, and report to your lead. You interview them; we carry the Ukrainian contract, payroll, invoicing and leave.

  • Document processing projects

    A defined piece of document processing with a scope, a fixed plan and a named lead on our side who owns the result and reports progress in your channels.

  • Ongoing document processing

    Document processing as a continuing service: the same people every month, a backlog you prioritise, and hours you can see in our portal and on the invoice.

The dedicated team page explains how specialists join your team, and the outsourcing page covers project delivery, take-overs and how we charge.

Who works on your document processing

  • Document AI developers

    OCR, multimodal models and extraction

  • Python and .NET engineers

    Pipelines and ERP integrations

  • Front-end engineers

    Review and correction screens

  • Data annotators

    Labelled samples for measuring accuracy

  • QA engineers

    Accuracy and regression tests

Straight through where it is safe, a person where it is not

Each field gets a confidence threshold and a validation rule: totals must add up, dates must make sense, a supplier must exist. Documents that pass go straight through; the rest wait for a person, and the share that goes straight through grows as the measurements show it can.

We start with a few hundred of your real documents, labelled, so accuracy is measured on your layouts rather than on a vendor’s demo set.

Other AI development services we provide

AI development overview

Questions about AI document processing

How accurate is AI data extraction?

It depends on your documents, so we measure it on them: a labelled sample of your real invoices or forms gives accuracy per field before go-live. Clean digital documents often need little review; scans, handwriting and unusual layouts need more, and the review queue is sized from those figures.

Do we need to train a model on our documents?

Usually not. Current multimodal models and prebuilt extraction services read most business documents without training. Custom training pays off when volumes are high and a layout recurs, because it cuts the cost per page and raises accuracy on that layout.

Can the documents stay in our own environment?

Yes. Processing runs in your Azure, AWS or Google Cloud account, and open-weight models can run on your own servers when documents must not reach an outside provider.

How quickly can document AI developers start?

When the right document AI developer is available, the start is gated only by your interview and the NDA and IP assignment. Otherwise we run a search, which typically produces candidate profiles within two to three weeks, and nobody starts until you have said yes.

How do we hire document AI developers through BigTree108?

Tell us the work, the seniority and the hours you need. We propose one or two people with their profiles, you interview them the way you would interview your own hire, and you sign one agreement with BIG TREE 108 LLC and receive one invoice a month.

Who owns the work they produce?

You do. Every specialist has a signed contract with BigTree108 that assigns all work product to the company, and our agreement with you assigns it onward. Code, designs and documents are delivered into your own repositories and tools, not kept where only we can change them.

Drowning in documents?

Tell us the document types, the volumes and where the data has to go. You get an answer within one business day: a plan for a pilot on your own documents, or candidate profiles.

Email hello@bigtree108.com How we respond