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Invoice & receipt processing

Photograph A Receipt. Get Structured Fields.

Text detection finds and reads every line on the page, in the language you choose, then a small instruct model turns the raw text into structured fields — vendor, date, totals. The same detect-then-structure pattern behind document-processing pipelines, running entirely on-device here.

Model Tesseract + Qwen2.5 0.5B
Run time ~20 MB per language, plus ~340 MB drafting model

Extracted Fields

Choose a photo of a receipt or invoice and run it. Text detection downloads once per language (~20 MB) and the drafting model once (~340 MB), then both run entirely in your browser — the image never leaves your machine.

Case Studies

See how organizations are leveraging our AI solutions to scale.

View All Case Studies
Automating Invoice Processing for Pacific Financial case study
AI & ML

Automating Invoice Processing for Pacific Financial

Pacific Financial deployed a high-capacity parsing system to extract transaction records from complex tables.

99.1% Extraction Precision Read Case Study
AI-Powered Resume Screening at TalentForge case study
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AI-Powered Resume Screening at TalentForge

TalentForge integrated neural search embeddings to screen millions of developer candidate portfolios accurately.

82% Time-to-Hire Saved Read Case Study
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What services does Vervelo offer?

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Do you provide custom CRM solutions?

Yes, we design and develop fully custom CRM solutions tailored to your workflows.

Can these AI solutions run on our own infrastructure?

Yes. Every solution on this page is built to run inside your environment — on your machines, with your data staying where it is.

How long does a typical engagement take?

Most pilots go live in four to six weeks, with production rollout following once the results are validated against your data.

Do you fine-tune models on our data?

We do, where it earns its keep. Many of these solutions start from open models and are tuned against your domain data.

How do we get started?

Send us a note through the form above and we will set up a working session with the engineers who would build it.

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