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Speech-to-text for AI medical scribes: Why clinical vocabulary breaks generic STT
TL;DR: Generic STT engines fail in clinical environments because language model probability overrides correct acoustic detection of medical terms, substituting phonetically plausible but clinically wrong candidates silently. The result corrupts drug names, dosages, and diagnoses before the LLM ever sees them. Before selecting an STT engine for a medical scribe, verify four things: whether vocabulary biasing works at inference time without fine-tuning, whether async diarization accurately separates clinician and patient audio, whether the model holds up on noisy consultation recordings rather than clean read-speech, and whether the vendor's data training policy covers PHI by default on your plan.
Migrating from self-hosted Whisper to a managed speech-to-text API
TL;DR: Self-hosting Whisper's true cost rarely sits in the model weights. GPU idle time, VRAM leaks under parallel load, and the engineering hours spent maintaining CUDA dependencies and diarization pipelines are where the bill compounds. For teams processing under roughly 3,000 hours per month, assuming 20% of one US FTE at $150K loaded annual cost, a managed API is cheaper, though the break-even shifts materially against your actual labor cost. Above that threshold, the decision depends on your DevOps overhead and whether audio accuracy on real-world recordings matters for downstream systems like CRM sync and coaching scores.
Migrating from AssemblyAI to Gladia: A step-by-step switching guide
TL;DR: Switching from AssemblyAI requires four concrete changes: update one auth header, remap batch endpoints, adjust the JSON response schema, and resample audio for WebSocket connections. Multiple customers independently report completing these in under a day with a rollback abstraction layer in place. The bigger structural difference is cost model: a production stack with diarization, sentiment, entities, and summarization runs $0.30/hr on AssemblyAI's Universal-2 tier because each feature is metered separately, versus a bundled base rate. This guide covers the exact parameter mappings, payload diffs, WebSocket reconfiguration, and a zero-downtime cutover strategy.
Recall and Gladia join forces to power online meetings transcription
Published on Oct 19, 2023
Today, we are thrilled to announce a partnership aimed at empowering businesses and developers worldwide to fully leverage data from online meetings.
Recall, a pioneering developer tooling, API, and infrastructure provider best known for plug-and-play meeting bots, has teamed up with Gladia to provide real-time code-switching and accurate transcription to over 100 clients worldwide.
Recall: Capturing the essence of meetings
As the world grappled with the COVID-19 pandemic, the demand for video conferencing solutions skyrocketed, multiplying the number of Zroom calls alone by an astonishing 100-fold.
Founded in February 2022, Recall’s mission was to provide companies worldwide with the best possible infrastructure powered by LLMs to extract valuable data from virtual meetings.
Recall allows developers to build products on top of meeting data captured from key platforms like Zoom, Google Meet, and others. They offer a comprehensive API that enables video and audio recordings, transcriptions, and metadata extractions (participant names, timestamps, etc.)
While it takes at least six months on average to develop meeting bots in-house, with Recall, companies can seamlessly integrate these functionalities in a matter of days.
Owing to its versatility and ease of use, Recall has exhibited spectacular growth and now caters to a wide range of enterprise clients across various industries and use cases, including sales enablement tools, note-taking solutions, productivity-enhancing applications, and more.
Gladia x Recall: Advancing meeting data transcription
Transcription is a critical component of video recording and conferencing tools provided by Recall.
At Gladia, we built an enterprise version of OpenAI’s Whisper ASR in the form of an API, distinguished by exceptional accuracy and speed, extended language support, and a variety of additional features.
Virtual meeting and note-taking have been among the most important use cases for Gladia, making our API a perfect candidate to address the challenges of virtual meeting transcription.
With Gladia's API integration, Recall's clients can now directly enjoy the benefits of instantaneous and accurate meeting transcription, including extended language support, speaker diarization, and word-level timestamps.
We’re grateful for the trust and thrilled to partner with a company like Recall, whose ambition to help companies improve the way they work by leveraging data from meetings aligns perfectly with Gladia’s vision and objectives.
For a more detailed practical tutorial on using Gladia API with Recall’s meeting bots, head to the tutorial on Recall’s website.
About Gladia
At Gladia, we built an optimized version of Whisper in the form of an API, adapted to real-life professional use cases and distinguished by exceptional accuracy, speed, extended multilingual capabilities and state-of-the-art features.
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Speech-To-Text
Medical speech-to-text for AI scribe builders
Speech-To-Text
Migrating from self-hosted Whisper to a managed speech-to-text API
Speech-To-Text
AssemblyAI to Gladia migration guide: API mapping & setup
From audio to knowledge
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