Extraction of text from PDF and Docx using FastAPI and adding the data toMySQL database and Elasticsearch
FastAPI
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Test Coverage Package version Supported Python versions
Documentation: https://fastapi.tiangolo.com
Source Code: https://github.com/tiangolo/fastapi
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints.
The key features are:
Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic).
One of the fastest Python frameworks available.
Fast to code: Increase the speed to develop features by about 200% to 300%.
Fewer bugs: Reduce about 40% of human (developer) induced errors.
Intuitive: Great editor support. Completion everywhere. Less time debugging.
Easy: Designed to be easy to use and learn. Less time reading docs.
Short: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.
Robust: Get production-ready code. With automatic interactive documentation.
Standards-based: Based on (and fully compatible with) the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema.
- estimation based on tests on an internal development team, building production applications.
******Interactive API docs
Now go to http://127.0.0.1:8000/docs.
You will see the automatic interactive API documentation (provided by Swagger UI):
