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 is a Computer vision, OCR & document AI project. It focuses on converting images of handwritten text into machine-readable digital text. It is built as an open-source project for developers. The project is open source (MIT). It ships for the web and API.
Microsoft builds and maintains Trocr Small Handwritten, and it first shipped in 2019. The project is developed in the open on GitHub with 22.2k stars.
Summary written by a language model from the project’s public pages.
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