
Firef.ly
TLDR This
Otter.ai
Granola.so
Audext
Descript
Free Summarizer
Record Zoom, Teams, and Google Meet calls on your Mac. Get on-device transcription and AI summaries. Free, with no meeting bot or cloud processing.

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

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.
|
|
|
|
|---|---|---|
| Website | echo99.app | github.com |
| Pricing | — | |
| Platforms | — | |
| Company | 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


echo99 lives in your menu bar and records any call, whether it's Zoom, Meet, Teams or FaceTime. No bot joins the meeting. It records your voice and the other side separately, transcribes in 25 languages, labels who said what and learns the voices you talk to. A local AI writes the summary: key...
No description of mlsql yet.
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.


No analysis of echo99 yet.
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 echo99 and mlsql.
echo99's answer
Swift, local AI and LLM models
echo99's answer
Sales people, Product Managers, Managers, Marketing,..
echo99's answer
Free local call transcriptions on your Mac. Nothing is send over internet.
Share your experience with using echo99 and mlsql. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking echo99 since Oct 2026.
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
When comparing echo99 and mlsql, you can also consider the following products.

An app that's your local guide and intimate travel journal.
Compare Firef.ly to echo99 or mlsql:


Automatically summarize any article or webpage in a click.
Compare TLDR This to echo99 or mlsql:

Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
Compare Otter.ai to echo99 or mlsql:

Granola takes your raw meeting notes and makes them awesome
Compare Granola.so to echo99 or mlsql:

Use online audio to text converter to transcribe any voice recording in minutes.
Compare Audext to echo99 or mlsql: