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Transcribe phone calls and push them to HubSpot with Gladia and Zapier
TL;DR: Every wrong name or missed entity in a call transcript silently corrupts your CRM data downstream, and self-hosted pipelines compound this with GPU maintenance overhead and poor accuracy on accented speech. This guide shows you how to route call recordings from Twilio or Aircall through Zapier to our async API, run LLM extraction on the diarized transcript, and push structured deal properties and engagement logs to HubSpot without maintaining custom infrastructure. Multiple customers have the Gladia API layer running in under 24 hours. The remaining pipeline configuration time depends on your Zapier, LLM, and HubSpot setup complexity.
Cutting transcription cost per audio hour for meeting assistants
TL;DR: Transcription cost and accuracy are critical drivers of unit economics for meeting assistant builders. Headline API rates are deceptive because hidden fees for diarization, translation, and billing increments routinely double the effective cost per hour. Self-hosting open-source models introduces GPU underutilization and DevOps overhead that can exceed managed API costs by approximately 3x at early-stage volume. Teams that switch to all-inclusive pricing (diarization, translation, and sentiment bundled at as low as $0.20/hr on our Growth plan) recover meaningful margin without waiting for enterprise-tier volume to justify the conversation.
Scaling real-time STT for high-concurrency voice agents
TL;DR: Scaling real-time voice agents to hundreds of concurrent calls requires moving from stateless CPU-based autoscaling to stateful WebSocket connection management. The failure mode is predictable: architectures that handle test calls at low concurrency struggle when traffic spikes, producing latency spikes and dropped audio. The fix involves scaling on active connection counts, implementing ping/pong heartbeat monitoring to reclaim hanging sessions, and enforcing hard connection limits to protect downstream LLM and TTS layers. Additional capacity comes online without pre-provisioning, so the STT layer is not a fixed ceiling as session counts grow.
Transforming note-taking for students with AI transcription
Published on Nov 6, 2024
In recent years, fuelled by advancements in LLMs, the numbers of AI note-takers has skyrocketed. These apps are increasingly tailored to meet the unique needs of specific user groups, such as doctors, sales teams and project managers.
Coconote is focusing specifically on students. Leveraging the power of LLMs, their note-taking app can instantly transcribe, summarize, and contextualize notes from lectures.
Read on to find out why they chose Gladia as the primary transcription provider to power their fast-growing project as they expand globally.
About Coconote
Coconote provides an AI-powered note-taking and study assistance app designed for students.
The company focuses on enhancing accessibility to academic resources by offering features like lecture recording, instant transcription, organized notes, summaries, flashcards, and quizzes.
Their primary target audience is college students, with some reach in high school and continuing education.
Available for mobile and web users, the app first launched in the US in April 2024, reaching over 400k downloads in less than 6 months, and is now expanding to other geographies, starting with Japan.
The project's ultimate goal is to democratize access to academic support tools, making high-quality study assistance available to people from varied socioeconomic backgrounds.
Challenge
The Coconote app addresses the challenge of manual note-taking while in class, which has traditionally distracted students from actively listening and learning in lectures.
By automating the capture and organization of lecture content, Coconote allows students to engage more deeply during class without the worry of missing key points or struggling to keep up with fast-paced lectures.
To succeed in this mission, Coconote uses transcription as the backbone of the app. The app transcribes and organizes recorded lectures (in both audio and video formats) into structured notes, summaries, and study aids.
The transcription process involves Gladia as its main provider, handling recordings from diverse academic subjects in multiple languages.
Objectives
To deploy a top-tier transcription API to power the Coconote app, distinguished by the following characteristics:
Ability to effectively capture speech under varying audio conditions, such as echo-laden and noisy lecture halls;
Transcription accuracy and adaptability to specific terminologies across various academic disciplines;
A truly multilingual approach to asynchronous transcription and translation, with core features and add-ons all available in over 100 languages.
Solution
With Gladia, the Coconote team was able to implement:
Instant transcription for lecture recordings and URLs;
Translation to and from 100 languages;
Organized notes per subject matter;
Summaries, flashcards, and quizzes, generated automatically based on the notes.
Impact
By working with the Gladia team to iterate and scale up, they saw a noticeable impact on their rapidly growing user base and retention, with hundreds of happy users reporting remarkable performance of the app’s note-taking capabilities.
4.8 star rating on App Store
420,000+ signups
300,000+ Instagram followers, including celebrity parents like Joe Rogan and Patrick Dempsey
The team at Coconote is just starting to explore the possibilities that Gladia’s transcription brings to their users and is already considering how they can leverage the insights from data to make the app even more tailored to their specific needs.
About Gladia
Gladia provides a speech-to-text and audio intelligence API for building virtual meeting and note-taking apps, call center platforms, and media products, providing transcription, translation, and insights powered by best-in-class ASR, LLMs and GenAI models.
Having read this case study, do you feel like Gladia could be the right fit for your business too?
