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Migrating from Rev.ai to Gladia: what global teams should know
TL;DR: At 10,000 hours of audio per month, Rev.ai's per-hour billing compounds quickly once you add diarization, translation, and sentiment as separate line items. Language coverage gaps surface silently in production when non-English or accented audio degrades without returning an obvious error. This guide gives you the exact API payload mappings, WebSocket transition logic, and a TCO model at realistic scale to make a defensible evaluation of switching. If you decide to migrate, our all-inclusive per-hour pricing bundles every audio intelligence feature at the base rate, and most teams complete the endpoint transition and initial production validation in under 24 hours.
Switching your speech-to-text provider: A migration checklist for note-takers and contact center platforms
TL;DR: Switching your speech-to-text provider is a structural risk only if you skip the pre-migration audit. The real danger is not the cutover itself but continuing to run infrastructure that corrupts CRM entries, breaks LLM summaries, and inflates your per-hour cost with add-on fees you never modeled at scale. The four-stage phased cutover in this guide is designed to reach 100% production traffic without user-visible downtime, the same structural approach that let Aircall cut processing time by 95% and scale to over one million calls per week after adopting Gladia.
How decision intelligence improves customer service consistency in contact centers
TL;DR: Contact centers fail to deliver consistent service when routing infrastructure runs on static rules engines that cannot handle the complexity of real human conversation. Modern speech-to-text infrastructure addresses this by processing raw audio and feeding structured outputs to your CRM, using machine learning to analyze intent, sentiment, and speaker characteristics. Transcription accuracy sets the ceiling for every downstream action: a wrong word silently corrupts a CRM entry, a missed intent misfires a routing decision, and a misread sentiment score delays escalation. This playbook covers how to build and deploy that architecture without blowing your latency budget or your unit economics.
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
Migrating from Rev.ai to Gladia: what global teams should know
Speech-To-Text
Switching your speech-to-text provider: a migration checklist for note-takers and CCaaS
Speech-To-Text
How decision intelligence improves customer service consistency in contact centers
From audio to knowledge
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