TrOCR (Transformer-based Optical Character Recognition) is a model developed by Microsoft for image-to-text tasks, specifically fine-tuned here on handwritten text. It uses a vision encoder and text decoder architecture and achieves strong performance on handwriting recognition benchmarks. The model is distributed via Hugging Face and integrates with the Transformers library.
Trocr Small Handwritten sits in PulseGate's Foundation models & chat category. It focuses on converting images of handwritten text into machine-readable digital text. It is built as an open-source project for developers. Trocr Small Handwritten is open source under the MIT license. It runs on the web and API.
Behind Trocr Small Handwritten is Microsoft, and the product first shipped in 2019. Development happens publicly on GitHub with 22.2k stars.
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