AI & automation
AI document processing
Turn piles of documents into clean, checked data, without retyping a word.
Overview
Most businesses still have people reading documents and typing what they see into another system. It’s slow, it’s tiring work, and small mistakes carry through to customers, finance and compliance.
ByteMak builds document processing pipelines that read, classify and extract data from the documents you already receive. Modern AI handles varied layouts and poor scans far better than older template-based OCR, and validation rules check every value against your own data.
People stay in the loop where it matters. Low-confidence fields go to a simple review screen, and every correction helps tune the system. You get structured, searchable data and a clear record of where each value came from.
Capabilities
What AI document processing includes.
Take the full service or just the parts you need. Each one can be scoped and priced on its own.
Capture from any source
Email inboxes, uploads, scanners and shared folders gathered into one processing queue.
Classification & splitting
Each document recognised by type, and multi-document scans split automatically.
Data extraction
Names, dates, amounts, tables and clauses read from typed, scanned and handwritten pages.
Validation rules
Extracted values checked against your business rules and existing records.
Human review
Uncertain fields sent to a person with the source highlighted, for a quick decision.
Integration & archive
Results sent to your ERP, CRM or database, with searchable originals kept for audit.
Outcomes
What changes for you.
Faster turnaround
Documents are processed soon after they arrive instead of waiting in someone's inbox.
Cleaner data
Validation catches missing or inconsistent values before they spread through your systems.
Full audit trail
Every record links back to its source document and any correction a person made.
Tools & technologies
- Python
- Claude
- Azure AI Document Intelligence
- Google Document AI
- Tesseract OCR
- FastAPI
- n8n
- PostgreSQL
How we work
Simple process. Serious results.
Four steps, each ending with something you can hold, so you stay in control and can decide what happens next.
Start with a discovery callDiscover
Typically 1–2 weeks
We learn your goals, users and constraints before proposing anything.
Workshops, stakeholder interviews and a review of your current systems.
Goals & priorities brief
Design
Typically 2–4 weeks
You see how it will work and what it will cost before code is written.
Prototypes, technical design and a clear plan with costs and milestones.
Prototype & delivery plan
Build
1–2 week cycles
Working software in short cycles, tested automatically at every step.
Short iterations, regular demos and quality checks on every change.
Tested, working releases
Run
Continuous
We launch safely, watch it closely and keep making it better.
Secure launch, proactive monitoring and continuous improvement.
Ongoing improvements
FAQ
AI document processing: common questions.
Straight answers to the questions we hear most often.
Which documents can you handle?
Typed and scanned PDFs, photos, emails and spreadsheets. Common examples are application forms, contracts, delivery notes, IDs and certificates. We test on a sample of your real documents before quoting.
How accurate is it?
It depends on scan quality and how varied the layouts are, so we measure accuracy on your own samples during the pilot and agree a confidence threshold. Anything below it goes to a person.
Where is our data processed?
We use providers that don't train on your data, choose the hosting region with you, and can run the pipeline inside your own cloud when required.
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Learn moreStart the conversation
Have a project in mind?
Tell us what you're building and we'll get back to you within one business day.
info@bytemak.com- 1
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Free consultation
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Clear proposal
A written proposal with approach, timeline and cost, so you can decide with confidence.