ESPnet vs Gladia

ESPnet is an open-source toolkit for speech processing, including recognition, text-to-speech, translation, enhancement, speaker diarization, and spoken language understanding. It provides complete recipes for a range of tasks, plus tutorials, notebooks, and demos for existing models. Users can install ESPnet and espnet-model-zoo with pip to run inference on existing models; published models can also run in CPU or GPU inference containers without checking out the repository. Installation supports editable pip setup and optional dependency groups for tasks such as ASR, TTS, and speech enhancement. Training requires a separate extra that includes Lightning, TensorBoard, W&B, torch_optimizer, matplotlib, and Dask. Some task-specific packages must also be installed separately when a recipe needs them. ESPnet 1 is no longer supported, while ESPnet2 users can skip installing Kaldi. The toolkit is released under Apache License 2.0 and permits commercial use. It offers API access and lists Linux, macOS, Windows, and self-hosted platforms; WAV is the listed export format.

Gladia provides audio infrastructure through an API for recording, transcribing, and enriching audio. It offers asynchronous and real-time transcription, including live streaming, with Starter supporting 100+ languages and automatic language detection and switching. Listed audio tools include speaker diarization, sentiment analysis, PII redaction, entity detection, and audio-to-LLM processing. Developers can use Python or Node.js SDKs, WebSocket streaming, or REST uploads; named integrations include Pipecat, LiveKit, Twilio, Retell, Zapier, Make, and n8n. Transcripts can include speaker labels and timestamps, and SRT and VTT are listed export formats. Starter is listed at free and includes 50€ in one-time credits that do not expire. Flexible pay-as-you-go Starter rates are $0.61 a month for asynchronous transcription and $0.75 a month for real-time transcription. Hourly call and total audio limits vary by tier. Gladia also offers GladiaFlow, a desktop voice dictation app for Mac and Windows; its code is available under the MIT license.