{"categories":[{"label":"Text Processing","url":"https://skillfed.io/packages/category/text-processing"}],"enrichment":{"capability":"Extracts text, coordinates, and bitmap images from programmatic PDFs with support for character, word, and line-level granularity, offering both sequential and multi-threaded parsing modes.","skillfed_tags":["pdf-parsing","document-extraction","multi-threaded"],"use_cases":["Extract word-level bounding boxes and text from PDFs for document layout analysis or OCR validation.","Batch-process multiple PDFs in parallel with configurable thread pools and result backpressure.","Render pages as images with overlaid cell boundaries (character, word, or line level) for debugging or visualization.","Selectively materialize only the content levels needed per page to optimize memory and CPU in large-scale workflows.","Integrate PDF parsing into document conversion pipelines that require both text and spatial metadata."],"what_it_does":"Docling Parse is a Python wrapper around a C++ PDF parser that extracts structured text, geometric coordinates, and images from programmatic PDFs. It splits parsing into two phases: a fixed `DecodeConfig` applied at document open time (controlling sanitization and glyph handling) and a per-page `ContentConfig` that determines what to compute and materialize (character cells, word cells, line cells, shapes, bitmaps). This separation allows cheap initial loading and selective enrichment on demand\u2014if you request richer output later, the page is re-decoded automatically.\n\nThe package supports both sequential parsing (one PDF at a time) and parallel multi-threaded parsing with backpressure control. It includes a CLI for single-file processing and integrates with the broader Docling PDF conversion ecosystem. The library is actively maintained, supports Python 3.10\u20133.14 across major platforms, and provides performance benchmarks against other PDF packages.","worth_installing":"Yes. Docling Parse is actively maintained, permissively licensed, and offers a well-designed API for structured PDF extraction with multi-threaded support. Install friction is moderate due to compiled components, but pre-built wheels cover all major platforms and Python versions. Suitable for production document processing workflows."},"id":"docling-parse","links":{"html":"https://skillfed.io/packages/docling-parse","md":"https://skillfed.io/packages/docling-parse.md","pypi":"https://pypi.org/project/docling-parse/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"MIT","license_treatment":"permissive","name":"docling-parse","python_support":"supports_current","summary":"Simple package to extract text with coordinates from programmatic PDFs"},"popularity":{"monthly_downloads":4605553,"position":2275,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"7.13.0"}