Hebrew Call Transcription: What to Know Before Choosing a System

In short: Hebrew call transcription turns a phone call recording into text, ideally with the agent and the customer separated. Quality depends mostly on the recording quality, speaker separation and the transcription model. A transcript on its own is raw material: the value comes from analyzing the text and getting insights from it.

What affects transcription quality

Phone calls are one of the hardest cases for transcription: low audio quality, background noise, fast speech and interruptions. Hebrew adds slang, English words in the middle of sentences, and names of products and places.

Factor	Why it matters	What you can do
Recording quality	A compressed or noisy call is transcribed with more errors	Record in the highest quality your system allows
Separate channels	When the agent and customer are recorded separately, speaker separation is more accurate	Check whether your phone system supports it
Overlapping speech	When both talk at once, some words are lost	It is also a metric: many overlaps point to a tense call
Names and terms	Product and competitor names get mistranscribed	An analysis that knows the business understands them from context

Why speaker separation matters more than any single word

To score an agent, the system has to know what the agent said and what the customer said. A transcript where all the text is one block makes it impossible to check whether the agent asked discovery questions, how long they talked, or who brought up the price.

So when choosing a system, test a few real calls:

• Is every sentence attributed to the right speaker?
• Does the system know which of the two is the agent, not just "speaker 1" and "speaker 2"?
• What happens in a call with more than two participants, for example a transfer to a manager?

In TalkWiz recordings are transcribed with speaker separation, and the system identifies the agent and the customer from the content of the call.

Do transcription errors ruin the analysis?

Less than you might think. Modern language models read context. A sentence like "I need to think about it with my wife" will be understood as a "need to consult" objection even if one word in it was mistranscribed. What really hurts the analysis is attributing sentences to the wrong speaker, which is why it is the first thing to check.

Privacy: what happens to the recording and the transcript

Recordings and transcripts of customer calls contain personal data, and sometimes sensitive data. Ask every vendor:

• Where is the data stored? In TalkWiz, on servers in the European Union (Frankfurt).
• What happens to the recording? In TalkWiz the recording is deleted right after transcription, and only the transcript is kept.
• Is the transcript encrypted? In TalkWiz transcripts are encrypted, and details such as credit card numbers and ID numbers are hidden before the analysis.
• Are calls used to train models? In TalkWiz, no.
• How long is the data kept? There should be a defined retention period and automatic deletion.

When the phone system already transcribes

Many phone and dialer systems, for example CallMarker, already transcribe calls. In that case there is no need to transcribe again: send the existing transcript to analysis and save the transcription cost and time. There is a separate guide on this connection: CallMarker call analysis.

What to do with the transcript

A transcript nobody reads is not worth much. The value comes in the next step:

1. A score and feedback for the agent by fixed criteria. See Call Quality Assurance.
2. The call outcome and next step, including a ready follow-up message for the customer.
3. Objections and pain points that add up to a picture of the whole team. See Objections in Sales Calls.
4. Search and free questions about the calls, for example "why did customers give up this week?".

How to test it in practice

Upload 10 to 20 real recordings and check the points in this guide: speaker separation, understanding your terms, and what the system produces from the transcript. TalkWiz accepts mp3, m4a, wav and other common formats, and the first 100 calls are analyzed free. Open an account here.