getTxt.AI

What is getTxt.AI?

getTxt.AI is an online AI tool that converts documents, images, audio, and video into text or Markdown. It can also perform OCR, speech transcription, summarization, and translation within the same process.

The platform is intended for individual users and developers who need to organize their data, and it offers web-based tools as well as a unified API. Its operating entity is 4vor4 UG in Germany, and the product is priced on a subscription basis using points.

Main functions

Document parsing and OCR

• It is possible to extract text from files such as PDF, Word, Excel, PowerPoint, HTML, and EPUB.
• OCR recognition is supported for JPG, PNG, BMP, TIFF, and HEIF images.
• It is possible to output the recognition results in plain text or Markdown, which facilitates further editing and import into a knowledge base.
• The accuracy of scanned documents, complex tables, low-resolution images, and handwritten text varies depending on the quality of the original files.

Audio and video transcription

• Text-to-speech support for common audio formats such as MP3, WAV, and M4A.
• It can handle various video files such as MP4, MOV, AVI, MKV, and WEBM.
• The website also offers tools for transcribing online videos, which are useful for organizing the content of interviews, meetings, and courses.
• Accents, noise, multiple people speaking at the same time, and technical jargon can affect the quality of transcription.

Abstract and Translation

• Users can request a short summary or a long summary to quickly identify the key points in a document.
• The translation function can be performed alongside text extraction within the same API call.
• Summaries and translations are available in multiple languages, but important terms still require manual verification.

Batch processing and unified API

• A single set of APIs can handle documents, images, audio, and video, eliminating the need to use separate services for different formats.
• A single request can submit up to 10 document addresses, and it is possible to receive information regarding the processing status of each file.
• The response includes fields such as the used credits, remaining credits, word count, extracted text, summary, and translation result.
• The system supports batch workflows, making it suitable for content archiving, data import, and knowledge base preprocessing.

Supported files and processing limitations

• Documents: PDF, DOCX, XLSX, PPTX, HTML, and EPUB.
• Images: JPG, JPEG, PNG, BMP, TIFF, and HEIF.
• Audio: MP3, MPGA, M4A, and WAV.
• Videos: MP4, AVI, MKV, MOV, FLV, WMV, MPEG, 3GP, WEBM, MTS, M2TS, and TS.
• The maximum size for audio/video content and individual documents is 100MB, with documents having a maximum of 2000 pages.
• The API file address must be directly accessible; no login, verification code, or interactive actions are required.
• The image size must be between 50×50 and 10000×10000 pixels.

Which users are it suitable for

• Developer: Adds support for document parsing, OCR, speech transcription, and summarization to the application.
• Researchers: Convert papers, reports, and scanned materials into searchable text.
• Content team: Organizes interview recordings, video subtitles, and multilingual materials.
• Knowledge base operator: Generates Markdown in bulk as preprocessing content for the retrieval enhancement system.
• Corporate administrators: Archive meeting recordings, presentations, and office documents.

getTxt.AI price

The following are the one-time point packages available on the official website as of August 28, 2026. The platform operates on a pay-as-you-go basis; no subscription is required.

Once the credits are used up, they can be purchased again from the control panel. Taxes, exchange rates, free credits, and the actual charging rules may change; it is necessary to refer to the settlement page before making a payment.

How to use getTxt.AI

1. Register an account to view your free trial points and current balance.
2. Choose the PDF, image OCR, audio, or video transcription tool based on the task.
3. Prepare files that are clear, unencrypted, and meet the format and size requirements.
4. Upload or submit a file, and choose between text or Markdown as the output format.
5. Enable summarization or translation as needed, and be aware of the potential increase in processing resources.
6. After completion, check the titles, paragraphs, numbers, tables, and technical terms.
7. Download the results or use the API to proceed with subsequent editing, archiving, and knowledge base processes.

Key points for API integration

• The interface verifies identity using an API Key, which should be stored in the server-side environment.
• Text extraction is performed using a POST request, during which the file address, output format, summary, and translation parameters can be submitted.
• A maximum of 10 files can be processed at a time; when this limit is exceeded, the requests must be split and concurrency must be controlled.
• When a message indicating too many requests is displayed, it is necessary to use a retry interval and keep track of the files that failed.
• The official documentation states that processing each file consumes points; it is necessary to conduct a small-scale cost test before running tasks in batch.
• The platform offers managed APIs, which are not equivalent to open-source OCR solutions or software that can be deployed privately.

Product advantages

• A single interface handles various file and media formats, reducing the complexity of integration.
• It also offers extraction, summarization, and translation, making it suitable for creating automated document processing workflows.
• It supports text and Markdown output, facilitating integration with editors and knowledge bases.
• One-time credit packages do not require a long-term subscription, making it easier for users who use the service infrequently to control their expenses.
• The API returns points and file status information, facilitating the monitoring of batch tasks.

Usage restrictions and privacy considerations

• AI-based extraction, summarization, and translation may result in omissions or misunderstandings; contracts, medical, and financial documents must be reviewed manually.
• To encrypt a PDF, the password must first be removed; network files that are protected or not directly accessible cannot be processed by the API.
• The published privacy policy states that the platform makes use of cloud computing and AI service providers to process content, and compliance requirements must be assessed before sensitive data is uploaded.
• Chat records are retained publicly for 30 days, usage logs for 90 days, while payment records may be kept for a longer period due to regulatory requirements.
• The service is intended for users aged 18 and above; when used by teams, internal upload permissions should also be set up.
• As of the verification date, it was found that the getTxt.AI platform is not open-source; its available features are primarily web-based tools and hosted APIs.

Frequently Asked Questions

Can getTxt.AI be used for free?

Registered users can obtain free trial credits, while those who use the service on a regular basis can purchase credits in one-time amounts. The amount of free credits as well as those offered as part of promotions may change.

Which files are supported by getTxt.AI?

It supports common office documents, PDF, EPUB, images, audio, and video formats; the specific formats and size limits are determined by the particular document in question.

Does getTxt.AI offer an API?

Available. Developers can use a unified interface to perform text extraction, summarization, and translation, and they can see the points consumed as well as the status of the files in the response.

Can the API directly read files that require login?

No. The address of the file submitted must be directly accessible; it cannot rely on logging in, verification codes, or any other interactive steps.

Is getTxt.AI an open-source tool?

As of the verification date, no open-source version of this platform was found. It offers online tools and hosted APIs, and cannot be considered an open-source project that can be deployed on one’s own.