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Infer SQL queries from plain-text questions and table headers.

Granola.so
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100% on-device AI transcription app. 26 languages, fully offline, completely private. No cloud, no compromise. Start Free on iPhone, iPad, and Mac, lifetime plan, Family sharing, unlimited transcription

Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | utterlyapp.com |
| Pricing | — | |
| Company | — | Startup from the United States · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Utterly brings fast, private speech-to-text to iPhone, iPad, and Mac. It runs fully on device with no accounts or cloud, supporting 26 languages for meetings, lectures, interviews, and notes. Use live transcription and captions, dictate polished text, or transcribe audio or video files and system...
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing mlsql and Utterly App.
Utterly App's answer:
Utterly is one of very few transcription apps that runs entirely on-device with zero cloud dependency. Every word is processed locally on Apple's Neural Engine — no audio ever leaves your device, no account required, no internet needed.
It delivers real-time live captions, voice dictation, and file transcription in a single app, supporting 26 languages with automatic switching. Most competitors sacrifice either privacy, speed, or accuracy. Utterly doesn't compromise on any of the three.
Utterly App's answer:
Utterly App's answer:
Utterly App's answer:
Utterly started with a real person's need. The founder and his wife run an online language school, and one of their students was partially deaf — she relied on lip reading and asked if they could provide "subtitles" for the lessons.
Looking for a solution, nothing available met all three requirements: private, fast, and accurate. Most tools managed two out of three.
Knowing the field had advanced significantly with on-device neural models, the founder decided to build something that satisfied all three — and Utterly was born. That student says it changed her life, and she now uses live captions daily for remote work too.
That's the bar the app is built to meet: technology that meaningfully changes how people communicate.
Utterly App's answer:
Share your experience with using mlsql and Utterly App. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
Tracking Utterly App since May 2026.
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Granola takes your raw meeting notes and makes them awesome
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