OCR, computer vision, and trained models for handwritten forms, invoices, acts, and field scans: crop the sheet, split cells, extract fields, validate against ERP. I train compact domain models on a golden set when a generic reader is not enough. Python handles photos, PDFs, and batches; TypeScript orchestrates APIs and the operator review queue—not silent errors in accounting.
Engagements around document recognition usually start with a short discovery call, a written scope outline, and a first milestone you can demo to stakeholders within weeks—not months of silent development.
When this fits
Teams usually request document recognition when an off-the-shelf product does not match process, compliance, or integration constraints.
- Operations outgrow spreadsheets and informal tools around document recognition
- You need a stable system with roles, audit trail, and predictable releases
- Internal or external APIs must exchange data without manual re-entry
- Leadership wants measurable delivery milestones, not a single big-bang launch
What is included
- Discovery workshop: goals, constraints, existing systems, success metrics
- Architecture sketch and backlog sliced into vertical milestones
- Implementation with code review, staging environment, and handoff notes
- Launch support and a short hypercare window after go-live
Stack and approach
For AI implementation we rely on LLM, RAG, chatbots, OCR, computer vision, model training, TypeScript, Node.js, Python, ERP APIs, 1C, data security, process automation. We prefer explicit types, small deployable increments, and observability hooks (structured logs, health checks) so your team can operate the system after handoff.
Example from practice
Related delivery: ai-vision — handwritten industrial forms, Python CV/OCR, compact model training, golden-set eval, and operator review before ERP. Messenger assistants are a separate track: thinklens-bot.
Timeline and format
A focused MVP often ships in 4–8 weeks depending on integrations and compliance. We work in 1–2 week iterations with demoable increments; scope changes are tracked openly so estimates stay honest.
