This is the most common method for creating transcripts. The typical workflow involves converting the video into an audio file and then using an AI model to transcribe it. :
Extracting text from a video using Python generally involves two distinct paths: into text or capturing on-screen text (such as subtitles or slides) using Optical Character Recognition (OCR). While "rar" might refer to a compressed file format, the core process focuses on handling video and audio streams. 1. Transcribing Spoken Audio (Speech-to-Text) Download extract text from video using python rar
or OpenAI Whisper : Libraries that convert audio into text. Process : This is the most common method for creating transcripts
: Use a recognizer (like Google’s via SpeechRecognition ) or a local model (like Whisper ) to process the WAV file into a string. Save Results : Write the resulting string into a .txt file. 2. Extracting On-Screen Text (OCR) While "rar" might refer to a compressed file
: Use moviepy.editor.VideoFileClip to load your MP4 or MKV file and save the audio as a WAV file.