{"id":26369873,"url":"https://github.com/msparihar/transcriber","last_synced_at":"2026-03-10T17:07:31.863Z","repository":{"id":134047302,"uuid":"603311148","full_name":"Msparihar/Transcriber","owner":"Msparihar","description":"Developed an AI tool to automatically generate captions and transcripts for YouTube videos in 67 languages and can generate summarized texts in 133 languages.","archived":false,"fork":false,"pushed_at":"2023-11-10T18:00:38.000Z","size":15,"stargazers_count":7,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-02T18:51:51.550Z","etag":null,"topics":["audio-processing","deep-neural-networks","kenlm","nlp","wav2vec2"],"latest_commit_sha":null,"homepage":"https://github.com/Msparihar/Transcriber","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Msparihar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-02-18T05:40:16.000Z","updated_at":"2024-10-04T12:19:54.000Z","dependencies_parsed_at":null,"dependency_job_id":"796096e6-082d-4c6c-b7ec-d3a7ccf2f745","html_url":"https://github.com/Msparihar/Transcriber","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Msparihar/Transcriber","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Msparihar%2FTranscriber","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Msparihar%2FTranscriber/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Msparihar%2FTranscriber/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Msparihar%2FTranscriber/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Msparihar","download_url":"https://codeload.github.com/Msparihar/Transcriber/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Msparihar%2FTranscriber/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30343929,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-10T15:55:29.454Z","status":"ssl_error","status_checked_at":"2026-03-10T15:54:58.440Z","response_time":106,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["audio-processing","deep-neural-networks","kenlm","nlp","wav2vec2"],"created_at":"2025-03-16T23:17:01.001Z","updated_at":"2026-03-10T17:07:31.845Z","avatar_url":"https://github.com/Msparihar.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Youtube Transcriber\n\nYouTube Transcriber is a web application that transcribes YouTube videos into text. It is built with Python, Flask.\n\nThe transcriber uses the **Audio-wizard** model that I trained based on [deep-speech-2](https://arxiv.org/abs/1512.02595) paper.\n\nYou can find more details about the model [here.](https://github.com/Msparihar/deep-speech-2) \n\nTo use the application, simply enter the URL of the YouTube video you want to transcribe and click the \"Transcribe\" button. The application will then generate a transcript of the video, which you can then download or copy and paste into another document.\n\nYouTube Transcriber is a useful tool for anyone who wants to make their YouTube videos more accessible to a wider audience, or who needs to transcribe YouTube videos for research or other purposes.\n\n**Here are some of the benefits of using YouTube Transcriber:**\n\n* Make your YouTube videos more accessible to viewers with hearing disabilities\n* Improve the SEO of your YouTube videos by making them easier to search for\n* Create transcripts of your YouTube videos for blogging, research, or other purposes\n* Easily share transcripts of your YouTube videos on social media or other websites\n\n**Try YouTube Transcriber today and see how easy it is to transcribe your YouTube videos into text!**\n\n### Software and Tools Requirements\n\n1. [Github Account](https://github.com/)\n2. [Heroku Account](https://heroku.com)\n3. [VS Code IDE](https://code.visualstudio.com/)\n4. [GitCLI](https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line)\n\n### Step 1: Create a new environment\n```\nconda create -p venv python==3.10 -y\n```\n\n### Step 2: Activate Environment\n```\nconda activate venv/\n```\n\n### Step 3: Install dependencies\n```\npip install -r requirements.txt\n```\n\n### Step 4: Run the application\n```\nflask run app.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmsparihar%2Ftranscriber","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmsparihar%2Ftranscriber","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmsparihar%2Ftranscriber/lists"}