Easily deployable 🚀 API to convert PDF to markdown quickly with high accuracy.
-
Updated
Jun 19, 2024 - Python
Easily deployable 🚀 API to convert PDF to markdown quickly with high accuracy.
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
PDF Parser built in Rust
Dedoc is a library (service) for automate documents parsing and bringing to a uniform format. It automatically extracts content, logical structure, tables, and meta information from textual electronic documents. (Parse document; Document content extraction; Logical structure extraction; PDF parser; Scanned document parser; DOCX parser; HTML parser
一款美观且功能强大的在线设计工具,具备海报设计和图片编辑功能,基于fabric.js的开源版【稿定设计】。适用于多种场景,如海报生成、电商产品图制作、文章长图设计、视频/公众号封面编辑等 。A beautiful and powerful online design tool
A Python library for exploring PDFs with ease.
Sample code for the Datalogics .NET interface of the Adobe PDF Library
Sample code for the Datalogics Java interface of the Adobe PDF Library setup to build with Maven
A lightweight easy to use package to parse text from PDF files on client side without any server dependency.
C# and VB.NET samples for Docotic.Pdf library
Flashcard maker written in TypeScript, utilizing OpenAI API to create great cloze flashcards.
Sample code for the Datalogics .NET Framework interface of the Adobe PDF Library
io for nocodefunctions: csv, txt, pdf, and xlsx so far
Resume Screening: An AI Driven User Profile Screening Tool
A demo AI application for uploading PDF files and chatting withChatGPT regarding the content
Analyze PDFs. With colors. And Yara.
Sample code for the Datalogics C++ interface of the Adobe PDF Library
This is a node js application that allows users to upload pdf files and summarize the content of the pdf file. The application uses the OctoAI Text Gen Solution to run the large language model (LLM) inferences that power the PDF summarization. It demonstrates the ability to easily use LLMs to implement intelligent natural language workflow
Add a description, image, and links to the pdf-parser topic page so that developers can more easily learn about it.
To associate your repository with the pdf-parser topic, visit your repo's landing page and select "manage topics."