AI Video Hub: Automation of dubbing with zero costs for API and servers
Task: Create a video content localization system that does not require payment for expensive cloud services or subscriptions.
Solution: Developed an autonomous Python pipeline that uses only Open Source solutions. OpenAI Whisper is integrated for transcription, and Edge-TTS is used for voice generation. The entire process is fully automated and works locally or on free servers.
Result: Complete abandonment of paid voiceover services. The system allows for the creation of an unlimited amount of content with zero operational costs. Video processing time has been reduced from hours to just a few minutes.
Technical proof: The project code is open for audit and use in my repository on GitHub.
#Python #OpenSource #Whisper #EdgeTTS #Automation #NoCostAPI #GitHub
Solution: Developed an autonomous Python pipeline that uses only Open Source solutions. OpenAI Whisper is integrated for transcription, and Edge-TTS is used for voice generation. The entire process is fully automated and works locally or on free servers.
Result: Complete abandonment of paid voiceover services. The system allows for the creation of an unlimited amount of content with zero operational costs. Video processing time has been reduced from hours to just a few minutes.
Technical proof: The project code is open for audit and use in my repository on GitHub.
#Python #OpenSource #Whisper #EdgeTTS #Automation #NoCostAPI #GitHub
Ukraine 
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