Reverse Dependencies of pdf2image

The following projects have a declared dependency on pdf2image:

• abstract-images — This module, part of the `abstract_essentials` package, provides a collection of utility functions for working with images and PDFs, including loading and saving images, extracting text from images, capturing screenshots, processing PDFs, and more.
• afipcaeqrdecode — Package to decode and extract invoice metadata from an AFIP CAE qr code link
• agixt — An Artificial Intelligence Automation Platform. AI Instruction management from various providers, has an adaptive memory, and a versatile plugin system with many commands including web browsing. Supports many AI providers and models and growing support every day.
• agl-ocr-reader — OCR API: This OCR API is an application for extracting text from images and PDF files. It is built using Flask, a Python web framework. It utilizes the pytesseract OCR library, pymupdf and the PIL library for image processing.
• ai-object-detection — AI Object Detection
• aideml — Autonomous AI for Data Science and Machine Learning
• aipdf — A tool to extract PDF files to markdown, or any other format using AI
• airbyte-cdk — A framework for writing Airbyte Connectors.
• alertwise — Wagtail based weather warnings composing and dissemination tool
• alita-sdk — SDK for building langchain agents using resouces from Alita
• alita-tools — Default set of tools and toolkits available within ELITEA Agents.
• amazon-textract-textractor — A package to use AWS Textract services.
• analysis-engine — Analysis for the UK Department for Transport's major projects portfolio
• analysta-index — Extension of Langchain loaders, llms and retrievers for Analysta
• ansys-geometry-core — A python wrapper for Ansys Geometry service
• ansys-sphinx-theme — A theme devised by ANSYS, Inc. for Sphinx documentation.
• ansys-units — Pythonic interface for units, unit systems, and unit conversions.
• anthropic-cli — A command-line tool for interacting with the Anthropic API
• appjsonify — An academic paper PDF to JSON conversion toolkit.
• apple-vision-utils — Fast and accurate OCR on images and PDFs using Apple Vision framework directly from command line.
• arh — Я здесь за эту улицу стою. Пацаны мне всё, и я всё пацанам. Кто меня знает, тот в курсе.
• aryn-sdk — The client library for Aryn services.
• askdoc — Ask a personal doctor for your medical queries
• astra-multivector — Multivector Tables using the DataAPI from AstraDB
• auto-coder — AutoCoder: AutoCoder
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• AutoRAG — Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
• autoscab — apply for many of the same job
• awca — A toolkit for making ancient world citation analysis, text summarization, paraphrasing and OCR for PDF to CSV
• babot — Framework para crear agentes inteligentes personalizados
• bangla-pdf-ocr — A package to extract Bengali text from PDFs using OCR
• betty — Betty helps you visualize and publish your family history by building interactive genealogy websites out of your Gramps and GEDCOM family trees
• big-pdf-into-images — A tool to convert PDF files into images, page by page.
• biochatter — Backend library for conversational AI in biomedicine
• biocwl-dash — Viewer for Mount Sinai IIDSGT Precision Oncology reports.
• bisheng-unstructured — ETLs fro LLMs
• bluedot-rest-framework — no summary
• bocr — A Python package for OCR using Vision LLMs
• bpm-ai-core — Core AI abstractions and helpers.
• bsrag-unstructured — A Python package with a built-in web application
• butler-sdk — Butler Python SDK
• bwscan — # bwscan
• Byaldi — Use late-interaction multi-modal models such as ColPali in just a few lines of code.
• camai-utils — Python utils for the Camai CHC COVID Datasystem.
• capybara-docsaid — OpenCV with ONNX Runtime Inference Toolkit.
• cli-pdf-viewer — PDF Viewer
• cliriculum — A python cli tool to rapidly create an html or PDF resume
• cloudinteractive-ai-insights — Collection of AI tools designed to assist with your assignments and projects.
• common-utility-pepe — korean pepe lover
• comod — Compartmental modelling Python package
• contexto — Librería para el procesamiento y análisis de texto con Python
• cornellGrading — Routines for interacting with Cornell installations of Canvas and Qualtrics
• cyyrus — Transform Unstructured Data into Usable Datasets
• data-science-document-ai — "Document AI repo for data science"
• data-snapshot — no summary
• DataXtractor — DataXtractor is a versatile Python library designed to simplify the extraction of valuable data from a variety of sources, including images and PDF documents. Whether you need to extract text, tables, or structured content, DataXtractor provides powerful and intuitive tools to streamline the process.
• decimer-segmentation — DECIMER Segmentation - Extraction of chemical structure depictions from scientific literature
• deepsearch-latest — Deep search tool for document analysis
• demogpt — Autonomous AI Agent for Gen-AI App Generation
• dfelf — Data File Elf
• disclosure-extractor — A data extraction tool from judge financial disclosures.
• django-doma — Simple Document Management for Django
• doc-curation — A package for curating doc file collections, with ability to sync with youtube and archive.org doc items.
• doc-loader — Given werkzeug.FileStorage, fastapi.UploadFile or str file path as input it converts any image files(.pdf, .jpg, .png, .tiff) into list of PIL or numpy objects
• doc-ocr — Text extractor from document
• doc-ocr-yakul — Text extractor from document
• docai-dev — DocAI Python module
• docai-py — Butler Doc AI
• docailite — DocAI Lite Python module
• docbarcodes — Docbarcodes extracts 1D and 2D barcodes from scanned PDF documents or images.
• docile-benchmark — Tools to work with the DocILE dataset and benchmark
• docint — Extracting information from DOCuments INTelligently.
• DOCK-BYTE — A module to extract text from documents and chat with the content.
• docqa — DocQA: An easy way to extract information from documents
• docquery — DocQuery: An easy way to extract information from documents
• docquery-test — DocQuery: An easy way to extract information from documents
• documentdataextraction — Change the yml template format in GenerateExtractTemplate class
• DocumentsReader — A package to read and process documents
• docupie — An advanced document processing tool that leverages AI to extract structured data from PDFs
• domsdatabasen — Scraper and PDF text processor for domsdatabasen.dk
• dp-PDF-Crawler — A custom Flask package with PDF processing tools
• dsparse — Multi-modal file parsing and chunking
• dsrag — State-of-the-art RAG pipeline from D-Star AI
• dynamiq — Dynamiq is an orchestration framework for agentic AI and LLM applications
• easylatex2image — another latex converter 2 pictures
• easyocr-unstructured — Parse unstructured text from PDFs
• ebs-iot-linuxnode — no summary
• ecom-data-helpers-lib — A library of reusable utilities for AWS Lambda functions in ECOM Data Projects
• eDOCr — OCR for Engineering Mechanical Drawings
• edubotics-core — Core modules for edubotics-based LLM AI chatbots
• edupsyadmin — edupsyadmin provides tools to help school psychologists with their documentation
• efficient-ocr — Efficient OCR
• EmberFactory — Software to (re)produce burning ember diagrams of the style used in IPCC reports.
• embermaker — Software library to (re)produce burning ember and related diagrams of the style used in IPCC reports
• emo-market-base — Marketlerden ürünleri kazıma işlemleri için temel pakettir
• enb — Experiment NoteBook (enb): efficient and reproducible science.
• esch — esch (v.) : to turn matricies into high quality svg (animations)
• Extractable — Extract tables from PDFs
• extralit — Open-source tool for accurate & fast scientific literature data extraction with LLM and human-in-the-loop.
• faker-file — Generate files with fake data.