Offline OCR assets for BharatDocs Studio

worker.min.js: tesseract.js 6.0.1 (Apache-2.0), from the installed npm package.
core/tesseract-core-lstm.wasm.js and core/tesseract-core-simd-lstm.wasm.js:
  tesseract.js-core 6.1.2 (Apache-2.0), from the installed npm package.
  The app uses Tesseract's LSTM-only engine and chooses the SIMD variant when supported.

lang/eng.traineddata.gz: @tesseract.js-data/eng 1.0.0 (MIT)
  https://cdn.jsdelivr.net/npm/@tesseract.js-data/eng/4.0.0_best_int/eng.traineddata.gz
  SHA-256: 45b4cb346724ac1774f1c36f42f182b887bcdb28ebe63e6fff90ac41f3fcff91
lang/hin.traineddata.gz: @tesseract.js-data/hin 1.0.0 (MIT)
  https://cdn.jsdelivr.net/npm/@tesseract.js-data/hin/4.0.0_best_int/hin.traineddata.gz
  SHA-256: f3b6a0d320df38d886178cdd727b90dbf9df3db053adb32bd9cf73f0463cda07

The bundled language models are the best_int LSTM variants. See the included
Tesseract.js and Tesseract.js-core license files. Source packages for the data
models declare the MIT license at https://github.com/naptha/tessdata.
