No project description provided
Project description
Project purpose
This project allows users to easily extract text from large audio files, noramlly you have to convert the large file to chunks and then process each chunks, store those chunks and a whole lot more, with this package you simple provide file and it returns you transcript.
How to use?
Import SpeechRecognitionModel class from Model__Speech_Recognition, and call the autioToTextFunction
Dependencies
The package uses pydub, io, speech_recognition dependencies
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file large_audiofile_transcription-0.1.0.tar.gz.
File metadata
- Download URL: large_audiofile_transcription-0.1.0.tar.gz
- Upload date:
- Size: 1.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.12.2 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7edefc0215eb9f1e4d6772a39ab33471fcfe54c571df706b646477d2bbdb8cf3
|
|
| MD5 |
faab7c50f6ae8aea9b85607383122b9e
|
|
| BLAKE2b-256 |
e0fcd2dd94e6c527c98e4128882a76cb52d55f8f4a8ae5fa1e8f41b21f975f9a
|
File details
Details for the file large_audiofile_transcription-0.1.0-py3-none-any.whl.
File metadata
- Download URL: large_audiofile_transcription-0.1.0-py3-none-any.whl
- Upload date:
- Size: 2.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.12.2 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
11d27bcc954fda2a094365bb64b98ad80b2f61f9137aa3cfaef18c141ee3b0c2
|
|
| MD5 |
f8a99f350bf227dd5800eb9e1a6524ce
|
|
| BLAKE2b-256 |
4f32376fcd16ac967ee456027df71446dd7f2fe758587d3ab4e1e299652516f8
|