AI on Demandpowered by LightOn

LightOnOCR-2-1B: 9 times smaller than comparable OCR models — and up to 3 times faster. An end-to-end model from the French company LightOn AI, operated by stepping stone on Swiss infrastructure.

LightOnOCR-2-1B is an end-to-end optical character recognition model developed by the French company LightOn AI. With just 1 billion parameters, it is around 9 times smaller than comparable models — yet faster: up to 3 times faster processing speed whilst delivering state-of-the-art results.

The model reliably recognises text in complex layouts, scans, academic documents, tables and forms. stepping stone runs LightOnOCR entirely on Swiss infrastructure. Access is via an OpenAI-compatible API, which can be integrated directly into existing workflows. Your documents remain in Switzerland.

Companies and public authorities wishing to digitise large volumes of documents efficiently — quickly, accurately and without transferring data to US providers. Particularly suitable where speed and cost-effectiveness are crucial.

Typical applications: bulk processing of invoices, contracts and forms; digitisation of archives and legacy records; extraction from multi-column layouts and academic documents; OCR integration into automated document pipelines.

Open source (Apache 2.0). European model. Swiss data centres. No data stored with US providers.

Compact and efficient: LightOnOCR processes up to 493,000 pages per day on a single GPU — for less than CHF 0.01 per 1,000 pages. No external OCR toolkit required; everything is end-to-end. Personalised advice and operation provided by stepping stone in Bern.

Your Consultant

Scope of services

On-demand document recognition

Access to LightOnOCR for fast, accurate text recognition. Excellent for tables, forms, multi-column layouts, academic documents and scans. Up to three times faster than comparable models.

GPU performance on demand

Scalable computing power for individual documents or entire archives. Particularly cost-effective thanks to the compact model — you pay as you go.

Managed service

Deployment, monitoring, maintenance and support on Swiss infrastructure, with personalised advice. stepping stone takes care of the day-to-day running so that you can focus on the benefits.

Areas of application

Batch processing

LightOnOCR is designed for high throughput — up to 493,000 pages per day on a single GPU.

Unternehmen verarbeiten damit grosse Mengen an Rechnungen, Verträgen und Formularen effizient und kostengünstig. Für unter CHF 0.01 pro 1'000 Seiten lassen sich auch umfangreiche Archivbestände wirtschaftlich digitalisieren. 

Document pipelines

LightOnOCR integrates seamlessly into automated document processing workflows as a compact module.

Thanks to its OpenAI-compatible API, it can be integrated directly into existing workflows — without the need for an external OCR toolkit. It processes complex layouts, tables, forms and academic documents end-to-end on Swiss infrastructure.

Benchmark

The benchmark processes 50 CVs (100 pages total). Step-by-step instructions and the required Python script can be downloaded from GitHub.

If necessary, higher concurrency and page limits can be set.

Call

# Set your personal key:
STONEY_KEY=sk-...

# Make key visible for bench script:
export OPENAI_API_KEY=$STONEY_KEY

# Start the benchmark
python cv_bench_endpoint.py \
 --endpoint llm.stoney-cloud.com/v1/chat/completions \
 --data cv_bench_data \
 --model "lightonai/LightOnOCR-2-1B" \
 --api-key $STONEY_KEY \
 --concurrency 1 \
 --limit 100

Result

concurrency   : 1
requested     : 50
ok            : 50
failed        : 0
duration_s    : 93.958
pages_s       : 0.532
pages_min     : 31.9
out_tok_s     : 419.4
latency_p50_s : 1.63
latency_p99_s : 10.016

 

Legend

  • concurrency: How many requests the model processes simultaneously.
  • requested: How many requests were sent.
  • ok: Number of accepted requests (in this case, CVs).
  • failed: Number of rejected requests.
  • duration_s: The duration of the benchmark run.
  • pages_s: The average number of pages that can be processed per second.
  • pages_min: The average number of pages that can be processed per minute.
  • out_tok_s: The number of tokens generated per second.
  • latency_p50_s: The average response time in seconds.
  • latency_p99_s: The response time required in the “worst case” scenario, in seconds.

Price

ModelContext lengthInput/MTokOutput/MTok
LightOnOCR-2-1B16k0.02000.0600
All prices are in CHF/MTok, excluding VAT.