GetTxt.AI

What is GetTxt.AI?

GetTxt.AI is a powerful AI-driven text extraction tool that converts PDFs, images, audio, and video files into text or Markdown with high accuracy. It supports over 50 languages, making it ideal for global document processing. The platform offers a single API call for extraction, translation, and summarization, streamlining workflows for developers and businesses. Key features include advanced OCR for images and PDFs, speech-to-text for audio and video, and the ability to extract text from EPUB ebooks. Users can also translate extracted text directly within the same API call, eliminating language barriers. Summarization options provide both long and short versions of documents, enabling quick comprehension of lengthy materials. The service is designed for scalability, allowing batch processing of multiple documents simultaneously, which is perfect for handling large archives or datasets. GetTxt.AI operates on a pay-as-you-go model with no subscriptions or hidden fees. New users receive free credits upon signup to test the service. Additional credits can be purchased from the user dashboard, with discounts for larger packages. The API is robust and easy to integrate, making it suitable for automating document processing in applications, AI chains, or LLM workflows. Use cases include converting PDFs to editable text or Markdown, extracting key information from images, transcribing meetings or lectures, and processing international documents. By reducing complexity and saving time, GetTxt.AI allows developers to focus on building their AI applications without worrying about text extraction infrastructure. Whether you need to process a single file or millions, GetTxt.AI provides a simple, efficient, and cost-effective solution.

Use Cases

Key Features

PDF text extraction image OCR speech to text video transcription EPUB text extraction multi language support translation summarization batch processing pay as you go

Who is it for?

developers, businesses, data scientists, content creators, researchers, global teams, document processors

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