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swift-ocr-llm-powered-pdf-to-markdown

swift-ocr-llm-powered-pdf-to-markdown

This OCR API converts complex PDFs to structured Markdown, ideal for data extraction and document digitization.
Author:LoRA
Inclusion Time:06 Feb 2025
Visits:7157
Pricing Model:Free
Introduction

What is this OCR API?

This OCR API is an open-source solution that uses OpenAI's advanced language models and optimized performance techniques such as parallel processing and batch handling to extract high-quality text from complex PDF documents. It is ideal for businesses and individuals looking for efficient document digitization and data extraction solutions.

Who Can Use This API?

The target audience includes enterprises and individuals who need to digitize large volumes of PDF documents or extract data from them. It is particularly suitable for those needing to extract information from complex documents and output it in structured formats like Markdown.

Example Scenarios:

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 files for further analysis and processing.

Key Features:

Flexible Input Options: Supports direct upload of PDF files or specifying URLs.

Advanced OCR Processing: Uses OpenAI’s GPT-4 Turbo model for accurate text extraction.

Performance Optimization: Parallel PDF conversion with multi-process concurrent page conversion.

Batch Processing: Handles multiple images simultaneously to maximize throughput.

Retry Mechanism with Exponential Backoff: Ensures resilience against transient faults and API rate limits.

Structured Output: Extracted text formatted in Markdown for improved readability and consistency.

Robust Error Handling: Comprehensive logging and exception handling for reliable operation.

Scalable Architecture: Asynchronous processing to efficiently handle multiple requests.

Getting Started:

1. Clone the repository to your local machine.

2. Create and activate a virtual environment.

3. Install the required dependencies.

4. Configure the environment variables.

5. Run the application.

6. Send a POST request via the API endpoint to upload a PDF file or provide its URL.

7. Process the response data received.

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