

Swift Ocr Llm Powered Pdf To Markdown
Overview :
This is an open-source OCR API that leverages OpenAI's powerful language model and optimized performance techniques, such as parallel processing and batch processing, to extract high-quality text from complex PDF documents. It is ideal for businesses seeking efficient document digitization and data extraction solutions.
Target Users :
The target audience includes businesses and individuals who need to digitize large volumes of PDF documents or extract data. This API is particularly suitable for those requiring information extraction from complex documents and wishing to output in a structured format such as Markdown.
Use Cases
Convert NASA's Apollo 17 mission documents into structured Markdown format.
Extract data from complex PDFs containing tables and charts.
Transform legal documents into editable Markdown for further analysis and processing.
Features
Flexible input options: Supports direct PDF file uploads or specification of a URL.
Advanced OCR processing: Accurate text extraction using OpenAI's GPT-4 Turbo model.
Performance optimization: Parallel PDF conversion using multi-processing for concurrent PDF page conversion.
Batch processing: Handles multiple images in batches to maximize throughput.
Retry mechanism with exponential backoff: Ensures resilience against transient failures and API rate limits.
Structured output: Extracted text is formatted in Markdown for enhanced readability and consistency.
Robust error handling: Comprehensive logging and exception handling for reliable operation.
Scalable architecture: Asynchronous processing efficiently handles multiple requests.
How to Use
Clone the repository locally
Create and activate a virtual environment
Install dependencies
Configure environment variables
Run the application
Send a POST request to the API endpoint to upload a PDF file or provide the PDF's URL
Receive and process the response data
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