I modelli di intelligenza artificiale alla base dei principali strumenti di trascrizione audio 2025
BLOG
I modelli di intelligenza artificiale alla base dei principali strumenti di trascrizione audio 2025
Strumenti di trascrizione vocale sono ovunque, da riunioni e conferenze a podcast e interviste. Ma cosa c'è sotto il cofano di questi strumenti? Dietro ogni app di trascrizione accurata e in tempo reale c'è un potente strumento di trascrizione. Riconoscimento automatico del parlato (ASR) modello.In
4 min readAI Transcription
Voice transcription tools are everywhere—from meetings and lectures to podcasts and interviews. But what powers these tools under the hood? Behind every accurate, real-time transcription app is a powerful Automatic Speech Recognition (ASR) model.
In this article, we break down the core speech-to-text models used by leading transcription tools like VOMO，Notta, Otter.ai, Fireflies, and more.
Why Does the Choice of Model Matter?
In general, the ASR (Automatic Speech Recognition) model determines most of a transcription tool's performance, including accuracy, transcription speed, multilingual support, and cost.
If the same model is used, the accuracy and speed of different audio-to-text tools will not vary significantly.
Accuracy (especially with accents or noise)
Speed (real-time vs batch)
Language support
Cost (API pricing or compute requirements. )
Cost has a significant impact on the pricing strategies of major transcription tools.
AI large models are expensive to run, so tools that are based on them typically offer little to no free trial.
VOMO FOR MEETINGS
Transform Your Meetings with VOMO
Experience seamless meeting recording, highly accurate transcription, and intelligent summarization. Let VOMO be your dedicated note-taker while you focus on what matters most.
Trusted by 100,000+ users
No Credit Card Required
In contrast, machine learning-based Otter provides a generous free plan, but the trade-off is lower accuracy.
For example:
If you needmultilingual transcription, Whisper is hard to beat.
Fordeveloper integration, Google and Deepgram offer flexible APIs.
The Core AI Models Behind Modern Transcription Tools
1. Whisper by OpenAI
Used by: VOMO, Notta, Trint (partially), Descript (in some workflows)
What it is
Whisper is a powerful open-source ASR model trained on 680,000 hours of multilingual and multitask supervised data collected from the web.
It has been out for over two years now, and few models have seriously challenged its dominance. However, its performance in languages other than English—such as Chinese—is still less than ideal.
Strengths:
Supports over 50 languages
Handles accents and noisy environments well
Offers translation and transcription in one step
Use case: Great for international transcription, long-form audio, and research.
2. Google Speech-to-Text API
Used by: Early versions of Otter, Notta (certain modes), Rev.ai (some workflows)
Use case: Versatile, secure, and ideal for corporate tools.
6. Custom / Hybrid Models
Many top tools build on these models or combine them with proprietary enhancements.
🔹 Otter.ai
Now uses: Custom hybrid model (no longer depends on Google).
Otter used to rely heavily on Google’s machine learning models, which is one of the main reasons many users criticized it for its low transcription accuracy.
Optimized for: Meetings, with contextual awareness and speaker tracking
Bonus: Offers automatic summaries and slide capture
🔹 Notta
Uses: Whisper, Google STT, and others (depending on audio language and quality)
Bonus: Lets users choose between standard and “AI-enhanced” transcriptions
🔹 Fireflies.ai
Uses: Whisper, Deepgram, and internal models
Unique: Lets users switch between engines for best accuracy
Choosing a transcription tool isn’t just about UI or features—it’s about the AI model powering the engine. Whether you're a student, journalist, or business professional, knowing what’s under the hood can help you pick the most accurate, efficient, and cost-effective solution for your needs.
If you're curious to test tools powered by different models, platforms like Notta and Fireflies.ai give you that flexibility.
Want to explore Whisper-powered tools? Check out VOMO.ai, a fast and accurate transcription service powered by Whisper and designed for meetings, notes, and more.
