Speech-To-Text
When choosing a text-to-speech API (TTS), developers face crucial practical questions: Which provider delivers the right balance of latency, voice quality, control, and scalability in real production systems?
Speech-To-Text
Automatic speech recognition (ASR), aka speech-to-text (STT) technology, is a constantly evolving field. Knowing which ASR model is right for your product or service can be challenging. CTC, encoder-decoder, transducer, and speech LLMs—each with distinct tradeoffs. What does it all mean? And what do you choose?!
Speech-To-Text
Choosing between AssemblyAI and Deepgram for your speech-to-text needs often comes down to answering these critical questions:
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.
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.
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.
To deploy a top-tier transcription API to power the Coconote app, distinguished by the following characteristics:
With Gladia, the Coconote team was able to implement:
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.
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.
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?
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