exemplaryai/ai-engine
Easy to use Multi-Provider ASR/Speech To Text and NLP engine
This project helps developers integrate various Speech-to-Text (ASR) and Natural Language Processing (NLP) services into their applications without dealing with each provider's unique API. It takes audio or video files as input and outputs standardized transcripts along with insights like sentiment, questions, and entities. This is for developers building conversational AI applications, transcription services, or analysis tools that rely on understanding spoken language.
No commits in the last 6 months.
Use this if you are a developer who needs to process audio files into text and extract meaning from them, and you want the flexibility to easily switch between or combine different commercial AI providers like Deepgram, AssemblyAI, or AWS Comprehend.
Not ideal if you are a non-technical user looking for a ready-to-use transcription service or an application that analyzes audio without needing to write code.
Stars
27
Forks
1
Language
—
License
Apache-2.0
Category
Last pushed
Nov 10, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/exemplaryai/ai-engine"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
alphacep/vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
huggingface/speech-to-speech
Build local voice agents with open-source models
linto-ai/WebVoiceSDK
Buildings block for voice-enabled applications in the browser
Picovoice/speech-to-text-benchmark
speech to text benchmark framework
vox-serve/vox-serve
A Streaming-Native Serving Engine for TTS/STS Models