Sinopsis laporan tugas akhir ini menampilkan penelitian yang melibatkan penggunaan bahasa pemrograman Python, menggunakan library Tesseract dengan data yang di-trained, opsi mode LSTM engine dan mode page segmentation dengan Orientation and Script Detection (OSD), dan library OpenCV untuk pemrosesan gambar. Tujuannya adalah untuk melihat keakuratan Tesseract dalam Optical Character Recognition (OCR) dan pengaruh metode pre-processing dan kualitas gambar terhadap hasil OCR. / This thesis report synopsis features research involving the usage of the Python programming language, alongside the Tesseract library, which utilizes trained data, the LSTM engine mode and the page segmentation mode with Orientation and Script detection (OSD), and the OpenCV library for the image pre-processing phase. The objective is to observe the accuracy of Tesseract in Optical Character Recognition (OCR) and the impact of the pre-processing methods and image quality on the OCR results.