GTC AI LAB · REAL MODELS, LOCAL PROCESSING
Read text from an image or find a relevant passage in a document. The AI runs in your browser. You choose when to download a model, and your input stays on your device.
No account. No installation. No per-use AI fee.
Explore the model guidesEnglish document processing · English and Arabic interface
TRY IT ON YOUR DEVICE
Start with a fictional sample, or use your own input. These tools extract and retrieve information; review the output before using it.
One model at a time. Models unload after 5 minutes without activity or 1 minute in a background tab. Loading stops after 5 minutes; processing stops after 2 minutes. Stop and Unload clear the current result.
Supported browsers also coordinate model use across other Lab tabs.
Turn an English receipt, invoice photo or screenshot into selectable text. This reads text; it does not validate an invoice or identify its fields.
PP-OCRv6 Tiny · ~6.3 MB model + ~14.3 MB runtime, plus app files
Fictional receipt preloaded. Choose Load model, then Read text to try it, or select your own image.
Ask for an idea in different words. Local semantic search ranks the relevant excerpts from your English document. It does not generate an answer.
MiniLM-L6-v2 · ~23.7 MB model + ~26.9 MB runtime, plus app files
How MiniLM finds relevant passages
Matching excerpts will appear here.
Similarity measures a semantic match. It is not a probability that a statement is correct.
PROCESSING & STORAGE
Images, document text, queries and results are processed in this tab. They are not uploaded, logged or used to train a model. GTC serves the app and model files, so normal hosting request metadata is still generated. Closing or resetting the tool clears its current input and results.
WebAssembly runs on your device. Loading and processing speed depend on memory, browser and hardware. If a model cannot run, the tool shows an error; your input is not sent to a cloud service.
Models and runtime files are downloaded from GTC only after Load model. Your browser can cache model files for later visits. It may evict them or require another download; this is not a promise of fully offline access.
Stop or unload models in all Lab tabs first. This removes only the Lab’s saved model caches. Your browser manages its ordinary HTTP cache separately.
Built with runonweb by midudev (MIT), PP-OCRv6 by PaddlePaddle and MiniLM by sentence-transformers (Apache-2.0). ONNX Runtime and Transformers.js run the models locally. The interface supports Arabic; these selected models are offered for English documents.
Connect document intake, reviewed results and your business systems. Garrich Torres Consultants can scope the integrations, permissions and operating support around your team.
