{ "cells": [ { "cell_type": "markdown", "id": "6bc7bdc0", "metadata": {}, "source": [ "# PDF text extraction or OCR?" ] }, { "cell_type": "code", "execution_count": 1, "id": "84ec5b3e", "metadata": { "execution": { "iopub.execute_input": "2026-11-01T06:44:32.580982Z", "iopub.status.busy": "2026-11-01T06:44:32.580844Z", "iopub.status.idle": "2026-11-01T06:44:46.615951Z", "shell.execute_reply": "2026-11-01T06:44:46.615224Z" }, "scrolled": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Loaded DBNet detector (CPU, threads=8)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Loaded SVTR recognizer (vocab=185 chars, CPU, threads=8)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "text.pdf page 1 method: text\n", "ДОГОВОР ВОЗМЕЗДНОГО ОКАЗАНИЯ УСЛУГ № 42/ПС\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[occular] LM (pure Python): compact_lm.npz (268 MB), unigrams=2010937, alpha=0.5 beta=1.0 beam=100\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "scan.pdf page 1 method: ocr\n", "ДОГОВОР ВОЗМЕЗДНОГО ОКАЗАНИЯ УСЛУГ № 42/ПС\n" ] } ], "source": [ "from occular import OCRPipeline\n", "\n", "reader = OCRPipeline()\n", "for filename in [\"text.pdf\", \"scan.pdf\"]:\n", " pages = reader.process_pdf(filename, workers=1)\n", " for page in pages:\n", " print(filename, \"page\", page[\"page\"], \"method:\", page[\"method\"])\n", " print(page[\"results\"][0][\"text\"])" ] }, { "cell_type": "code", "execution_count": 2, "id": "ae1e3f36", "metadata": { "execution": { "iopub.execute_input": "2026-11-01T06:44:46.617123Z", "iopub.status.busy": "2026-11-01T06:44:46.616953Z", "iopub.status.idle": "2026-11-01T06:44:54.393279Z", "shell.execute_reply": "2026-11-01T06:44:54.392053Z" }, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Forced recognition: ocr\n", "ДОГОВОР ВОЗМЕЗДНОГО ОКАЗАНИЯ УСЛУГ № 42/ПС\n" ] } ], "source": [ "pages = reader.process_pdf(\"text.pdf\", force_ocr=True, workers=1)\n", "print(\"Forced recognition:\", pages[0][\"method\"])\n", "print(pages[0][\"results\"][0][\"text\"])" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }