Invoice Processing AI in India | unoblox

Turning a stack of vendor invoices into structured rows — vendor name, invoice number, amount, line items — is a natural fit for a language model paired with JSON mode: point it at the text (or an image) of an invoice, ask for a fixed set of fields back, and load the result straight into your accounting workflow. unoblox runs this over one rupee-billed endpoint, so the extraction step doesn't add a separate vendor relationship on top of your accounting stack.

The extraction problem

Invoices from different vendors rarely share a layout — field positions, terminology, and formats vary, which is exactly what makes manual entry slow and rule-based OCR brittle. A model reading the document and mapping it to a schema you define is more resilient to that variation than fixed-position parsing rules, though it still needs a review step, not blind trust.

A simple pipeline

1. Capture: convert the invoice (PDF or scan) to text, or pass the image directly to a vision-capable model.
2. Extract: call https://api.unoblox.ai/v1/chat/completions with response_format: json_object and a system prompt naming the exact fields you need — vendor, invoice number, date, amount, tax lines.
3. Validate: check required fields are present and numeric fields actually parse as numbers before writing to your ledger.
4. Review: route anything that fails validation, or falls outside expected ranges, to a human for a quick check rather than auto-posting it.

curl https://api.unoblox.ai/v1/chat/completions \
  -H "Authorization: Bearer ub-gw-your-key-here" \
  -H "Content-Type: application/json" \
  -d '{
    "model":"qwen/qwen3.8-27b",
    "response_format":{"type":"json_object"},
    "messages":[{"role":"system","content":"Extract vendor_name, invoice_number, invoice_date, and total_amount_inr as JSON."},{"role":"user","content":"<invoice text or image reference here>"}]
  }'

Model picks for invoice data

Model	Input (₹/1M)	Output (₹/1M)	Notes
Qwen3.8-27B	₹16.32	₹48.96	open-weight, accepts images directly for scanned invoices
DeepSeek V4 Flash	₹9.07	₹18.14	fast, cheap for clean text-based invoices
GPT-4.1	₹201.6	₹806.4	stronger general document understanding

Models not listed here, such as GPT-4o mini or Gemma 4 26B, also work through the same endpoint — see /models for live ₹ rates before choosing one for production volume.

Accuracy, review, and what not to assume

We don't publish accuracy figures for invoice extraction because they depend heavily on your document quality and field complexity — treat any specific claim you see elsewhere with scepticism, and benchmark on a sample of your own invoices before trusting a pipeline end to end. A human review step for amounts and tax fields is worth keeping permanently, not just during rollout, since even a small error rate on financial documents compounds quickly.

Frequently asked questions

Can this read scanned images, not just text invoices? Yes — a vision-capable model like Qwen3.8-27B can accept the image directly instead of requiring OCR text as a separate step.

Does unoblox validate GST fields or tax compliance for me? No — unoblox extracts whatever fields you ask for in your prompt; validating them against GST rules or your own accounting policy is your application's responsibility.

Is invoice data processed on Indian infrastructure? Only for unoblox's own small hosted models. Third-party models like GPT process the request on that provider's own infrastructure — the India benefit there is rupee billing and one GST invoice, not data residency, so keep that in mind for sensitive vendor data.

How accurate is AI invoice extraction? We don't publish a figure — it varies by document quality and the fields you're extracting. Build a validation and human-review step rather than assuming full automation from day one.

What happens with handwritten or very low-quality scans? Results will be less reliable than clean digital invoices; route low-confidence extractions to manual review rather than auto-posting them.

Can I run this at the end of each month in a batch instead of in real time? Yes — there's nothing real-time-only about the API; call it however fits your accounts-payable schedule.

Get started in rupees → https://unoblox.ai/sign-in