Transcription Stream GPT-Offline Transcription Service
AI-powered, self-hosted transcription at your fingertips.
How do I install Transcription Stream?
Where does Transcription Stream store files?
Explain the ts-web flask app
How do I install Transcription Stream?
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Overview of Transcription Stream GPT
Transcription Stream GPT is designed to facilitate self-hosted, offline transcription and diarization services. It leverages a web application and SSH drop zones to integrate seamlessly into various workflows, offering a robust solution for processing audio files. The system is built around Docker, utilizing two main components: ts-web for the web interface and ts-gpu for GPU-accelerated processing tasks. This design ensures a turnkey solution for users requiring transcription services without relying on cloud providers, ensuring data privacy and reducing dependency on internet connectivity. A typical use scenario involves uploading audio files via a web interface or SSH, after which the system automatically processes these files for transcription or diarization, with the results made available in a structured format. Powered by ChatGPT-4o。
Core Functions of Transcription Stream GPT
Transcription
ExampleUsing the ts-gpu component to transcribe long-form lectures for educational purposes.
ScenarioA university lecturer records their lectures and uploads them to the Transcription Stream service. The system automatically transcribes these audio files, enabling the lecturer to provide written materials alongside their courses.
Diarization
ExampleProcessing a business meeting recording to identify different speakers.
ScenarioA business uploads a recording of a multi-person meeting to the system. The diarization process identifies and separates speakers, making it easier to follow the flow of conversation and attribute statements to the correct individuals.
Web Interface and SSH Drop Zones
ExampleUploading, reviewing, and downloading transcripts directly through a web browser or programmatically via SSH.
ScenarioA journalist frequently records interviews and needs a quick way to transcribe them. They use the SSH drop zone to upload audio files directly from their recorder, and then access the transcriptions through the web interface for their reporting work.
Target User Groups for Transcription Stream GPT
Educational Institutions
Universities, colleges, and online educators can use Transcription Stream GPT to transcribe lectures, seminars, and educational content, making it accessible for review and study, enhancing learning experiences.
Businesses and Corporations
Companies that conduct regular meetings, interviews, or require documentation of oral communications can benefit from automated transcription and diarization to streamline record-keeping and improve organizational efficiency.
Journalists and Content Creators
Individuals who produce a lot of audio content, such as interviews or podcasts, can use Transcription Stream GPT to transcribe audio for articles, captions, and accessibility, speeding up their production process.
Using Transcription Stream GPT
Start with YesChat.ai
Begin by visiting yeschat.ai to explore Transcription Stream GPT without needing to sign up for a free trial.
Install Docker
Ensure you have Docker installed on your system, as Transcription Stream GPT relies on containerization for deployment and operation.
Clone the Repository
Clone the Transcription Stream GPT repository from GitHub to access the necessary files for installation and setup.
Run Installation Script
Execute the provided installation script (install.sh) to automate the setup process, including building Docker images and starting services.
Access the Web Interface
Use the web interface at http://dockerip:5006 for uploading audio files, monitoring transcription progress, and downloading transcribed texts.
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Transcription Stream GPT Q&A
What prerequisites are needed for Transcription Stream GPT?
You'll need a system with Docker installed, an NVIDIA GPU for ts-gpu operations, and sufficient storage for Docker volumes and large model files.
How does Transcription Stream GPT handle audio file uploads?
Audio files can be uploaded through a web interface or by placing them in specific directories for transcription or diarization via SSH access.
Can Transcription Stream GPT work offline?
Yes, once installed and the necessary models are downloaded, Transcription Stream GPT can transcribe and diarize audio files completely offline.
How does Transcription Stream GPT ensure data privacy?
As a self-hosted solution, Transcription Stream GPT processes all data locally on your own hardware, avoiding the need to send data to external servers.
Is Transcription Stream GPT suitable for large-scale transcription tasks?
Yes, with the capability to process files concurrently through dockerized services, it's well-suited for handling large volumes of transcription and diarization tasks.