Custom OCR Software That Fits Your Documents, Systems, and Compliance

Most “out-of-the-box OCR” works fine on clean, standardized PDFs—and then quickly breaks down with real business documents: inconsistent layouts, scanned images, stamps, handwritten notes, multi-language fields, and edge cases that matter (like VAT rules, totals, or line-item logic).

Enterflow builds custom OCR and document AI solutions that turn unstructured documents into reliable, structured data you can use in your workflows—without forcing you to change how your business operates.

What you get

Accurate extraction where it matters

We design OCR pipelines around your documents and business rules, not generic templates. Typical outputs include:

• Key fields (e.g., supplier, invoice number, dates, IBAN, totals)

• Line items (description, quantity, unit price, tax)

• Tables to structured formats (JSON/CSV)

• Document classification (invoice vs. PO vs. contract, etc.)

• Validation logic (e.g., totals reconciliation, VAT sanity checks, duplicate detection)

Built for messy inputs

We handle real-world variability:

• Scans, photos, rotated/skewed pages, stamps and signatures

• Multi-page packets and mixed document sets

• Multiple languages and formats

• “Look-alike” documents that differ subtly by vendor or region

Who it’s for (use cases)

If your team is spending time copying data from documents into systems, custom OCR typically pays off fast in:

• Accounts Payable (AP): invoices, receipts, credit notes, remittance advice

• Order-to-Cash: purchase orders, order confirmations, delivery notes

• Operations: logistics docs, packing lists, bills of lading

• Compliance / Admin: IDs, forms, letters, evidence packets

• Customer workflows: email + attachments triage, auto-routing, case creation

How we build it (understandable for non-technical teams)

We deliver OCR as a complete workflow, not a model demo:

1. Document discovery: collect samples, identify variants, define “must-have” fields

2. Extraction design: choose the right approach per field (OCR, layout parsing, rules, AI)

3. Validation & exceptions: implement checks so errors are caught early

4. Human-in-the-loop (optional): review UI for low-confidence cases

5. Integration: push clean data into your tools (ERP, accounting, CRM, databases, RPA)

6. Monitoring & iteration: track accuracy, drift, and new templates over time

For technical stakeholders: what’s under the hood

We combine techniques to optimize for accuracy, latency, and cost, including:

• OCR + layout understanding (reading order, tables, key-value zones)

• AI-assisted extraction (for messy or semi-structured fields)

• Deterministic rules where appropriate (for auditability)

• Confidence scoring per field and per document

• Deployment options: cloud, VPC, or on-prem (based on constraints)

We also implement test sets and evaluation so improvements are measurable over time.

Security and compliance by design

Document data is sensitive. We support:

• Data minimization (process only what you need)

• Role-based access, audit logs, and secure storage

• Configurable retention and deletion

• Contractual processor commitments (DPA where applicable)

• Clear stance on training: customer documents are processed only for your project unless explicitly agreed otherwise

The “key data” we track (so ROI is concrete)

We help you quantify outcomes with operational metrics such as:

• Field-level accuracy and document-level pass rate

• Exception rate (documents needing review)

• Processing time per document (end-to-end)

• Throughput and peak-load performance

• Cost per document and savings vs. manual processing

Ready to see what custom OCR would look like for your documents?

If you share a small sample set, we can quickly outline:

• what can be extracted reliably,

• where exceptions will occur,

• how it integrates into your stack,

• and what a realistic rollout plan looks like.

Contact: info@enterflow.ai
Website: https://enterflow.ai/