openai-fm's innovative PostgreSQL integration architecture provides an enterprise-class solution for voice content management. The system configures database connectivity through .env files and realizes three core functions: 1) persistent storage of voice records; 2) secure sharing of generated content; and 3) audit trail of usage records.
The technical implementation adopts a three-tier architecture: the front-end NextJS handles user interactions, the Node middleware calls the OpenAI API, and finally the WAV files and metadata are stored in PostgreSQL via Prisma ORM. This design reduces the storage volume of a single voice content by 30%, and at the same time, supports the direct playback of shared links. For educational institutions and enterprise users, this solution can effectively manage a large amount of speech material, avoid the API overhead caused by repeated generation, and reduce the operation cost by 30% as measured.
This answer comes from the articleOpenAI.fm: an interactive demo tool showcasing the OpenAI speech APIsThe
