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Kreuzberg
Overview :
Kreuzberg is a modern Python library focused on extracting text from various documents. It provides an efficient text extraction solution through a concise API and local processing capabilities. The library supports multiple file formats, including PDF, images, and office documents, without complex configurations or external API calls. It uses an asynchronous interface design, which improves processing efficiency while maintaining a lightweight resource footprint. Kreuzberg is suitable for scenarios requiring localized text extraction, such as RAG applications. Its main advantages are ease of use, resource efficiency, and powerful functionality.
Target Users :
This product is intended for developers and businesses that need to extract text from various file formats, especially those with stringent requirements for data privacy and processing efficiency. It helps users process text content in documents quickly and efficiently without relying on external APIs or complex configurations. It's suitable for localized processing scenarios, such as RAG applications.
Use Cases
Extract text from scanned PDF documents for document digitization.
Extract text content from images for content recognition and analysis.
Extract data from Excel spreadsheets for data processing and analysis.
Features
Supports extracting text from various file formats, including PDFs, images, and office documents.
Automatically performs OCR processing on scanned documents and intelligently detects the encoding of text files.
Adopts modern Python design, supporting asynchronous interfaces, type hints, and detailed error handling.
Requires no external API calls or cloud dependencies; all processing is done locally.
Supports multiple document and image formats, meeting diverse needs.
Provides detailed error information and context for easy debugging and problem-solving.
Supports Python's async/await syntax, improving code readability and efficiency.
Offers a rich exception handling mechanism to ensure stable program operation.
How to Use
1. Install the Python library: Use the pip command to install the kreuzberg library.
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2. Install system dependencies: Install system-level dependencies such as Pandoc and Tesseract OCR.
3. Import the library and use the extract_file or extract_bytes function to extract text.
4. Specify the file path or byte content according to the type of file you need to process.
5. Call the function and get the extraction result, then process the returned text content.
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