Vidtext Retriever

This system in YouTube videos reflects an automatic text extractor, a response to the ever-rising demand for effective processing of digital media content. It fetches downloaded videos, converts audio into FFmpeg, and makes the transcription accurate with Google's Speech Recognition API. This feature enables the conversion of videos into text, thereby streamlining the content extraction processes and facilitating easy access to video content for consumers. Most content consumers, researchers, and educators, who require the fast transcription of large-scale video data to facilitate easier video understanding, would greatly benefit from this scalable solution.

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Publication Details

Published
2025-04-04
DOI
https://doi.org/10.1109/iccsai64074.2025.11064219
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Vidtext Retriever

S. Poornima, M. Pushpalatha, Shubhang Pareek, Pranjali Tiwari
Natural Language Processing Techniques
article

Vidtext Retriever

S. Poornima, M. Pushpalatha, Shubhang Pareek, Pranjali Tiwari
article en

Abstract

This system in YouTube videos reflects an automatic text extractor, a response to the ever-rising demand for effective processing of digital media content. It fetches downloaded videos, converts audio into FFmpeg, and makes the transcription accurate with Google's Speech Recognition API. This feature enables the conversion of videos into text, thereby streamlining the content extraction processes and facilitating easy access to video content for consumers. Most content consumers, researchers, and educators, who require the fast transcription of large-scale video data to facilitate easier video understanding, would greatly benefit from this scalable solution.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 92%
Natural Language Processing Techniques
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