The IvreetMeet blog
Guides for getting a usable Hebrew transcript, and engineering notes on how it is produced.
Hebrew transcription: turning a recording into text
Which files you can upload, what you get back, what it costs, and five habits for the best Hebrew transcript.
Transcribe Hebrew audio to text
From a file on your phone to a transcript split by speaker: the steps, the formats, the size limit, and what you get back.
Hebrew speech to text
Recordings to text by speaker, or dictation that appears as you speak: what fits which job, in the browser, on a phone or by API.
Free Hebrew transcription
The two free routes, what each one includes, what Pro adds, and how to get the most out of a monthly allowance.
Hebrew meeting transcription
Transcript by speaker, decisions and action items, from a Zoom, Meet, Teams or phone recording, or from the assistant that joins the call.
Hebrew video transcription
Lectures, interviews, webinars and clips: uploading video, what to do about size, and how to get subtitles out of the result.
WhatsApp voice messages to text
How to save a voice note as a file on Android, on iPhone and in WhatsApp Web, and read it as Hebrew text.
Zoom recordings in Hebrew
Recording in Zoom or sending the assistant, which file to upload, and how to get a Hebrew transcript with minutes.
Hebrew speech-to-text API and MCP
A REST API with a personal key, and an MCP server that connects your meetings to Claude, ChatGPT, Cursor, VS Code and the CLIs.
How to transcribe a Hebrew recording, step by step
The walkthrough: pick the right file, upload it, add an instruction, and read the transcript and the summary that come back.
How an AI meeting summary is written
What separates a summary from a transcript, where the decisions and action items come from, and how to make yours better.
Speaker diarization, explained
How a system works out who spoke when, why names beat "Speaker 1", and how a saved speaker is recognised in later meetings.
Why a model trained on spoken Hebrew is more accurate
A transcription model picks the likeliest words. Trained on spoken Hebrew, it picks the right ones: slang, names and English mid-sentence.
The Hebrew model behind IvreetMeet
Our own speech model trained on spoken Hebrew, speaker separation built in, and a structured summary in Hebrew.
Why an hour of audio comes back in minutes
An hour of audio comes back in minutes, speakers and summary included, and what helps it come back even faster.
Sharing a meeting: PDF, view link and WhatsApp
Send the summary as a PDF over WhatsApp or email, copy it, or share a view link you can switch off at any time.
Documenting meetings when half the team is remote
How hybrid teams lose what was said, and how a searchable archive of transcripts and summaries fixes it without more meetings.