You spend an hour in a meeting with a client discussing changes, deadlines and price. At the end everyone says "fine, agreed." A week later each side remembers the agreement differently, and there are no minutes because nobody had time to write them. Or a call center takes hundreds of calls, and management only knows what people call about from the staff's impressions.
Tools that turn speech into text and summarize it have improved a great deal. Arab companies all ask the same question about them: do they work with the way we actually speak?
Does Arabic speech-to-text work well today?
Yes, well enough for many practical uses. With Modern Standard Arabic and clear recordings the results are good. With dialects accuracy is lower, but it is usually enough for a correct summary and a list of action items, even if the word-for-word text needs corrections.
Tools differ a lot, and so do dialects. A model that handles your Egyptian recordings well may stumble on a heavy Bedouin or Gulf dialect. So do not rely on any vendor's general promise. Test on your own recordings.
What makes Arabic dialects hard to transcribe?
Several things tend to come together in Arabic meetings:
- The dialect itself, plus local words that rarely appear in the data the models learned from.
- Arabic and English mixed in the same sentence, such as saying in Arabic "we'll do the deploy after the meeting" with the two English words dropped in.
- Overlapping voices when two people talk at once, which is common in our discussions.
- Names of people, companies and products, which the model writes the way it hears them.
- Audio quality: a distant speakerphone, a compressed phone call, or office noise.
Good recording fixes some of these problems. Others are fixed by giving the tool a list of expected names and terms, if it supports that.
How can you improve recording quality for transcription?
In many cases, recording quality affects the result more than the choice of tool. For online meetings, record from the meeting platform itself, because it captures each participant's audio clearly. In a meeting room, a dedicated microphone in the middle of the table is much better than a phone at one end.
For calls, recording from a phone system that puts the employee's voice and the customer's voice on separate channels makes transcription more accurate, and the system knows who said what.
- RecordFrom the meeting platform or phone system, with participants' consent
- TranscribeFull text with speakers identified
- SummarizeDecisions, tasks, deadlines, open points
- ReviewThe meeting owner corrects names and numbers
- DistributeMinutes to participants, tasks to the tracking system
Do you need a full transcript or a summary?
Most companies need the summary more than the verbatim text. Nobody will read the full transcript of an hour-long meeting, but everyone reads half a page listing the decisions, the tasks, who owns each one and when it is due. A language model writes a good summary even from a transcript with scattered errors, because it understands the context of the discussion.
The verbatim text still matters for the archive, and for calls where you may need to go back to exactly what was said. Keep it, and send out the summary.
Numbers, dates and names are what transcription gets wrong most often, and they are the most damaging errors to have in meeting minutes. Have the meeting owner check them before anything is sent, every time.
Can AI analyze customer service calls?
Here transcription becomes the start of something bigger. Once calls are transcribed, you can sort them by reason, measure how many were resolved the first time, and find repeated questions that an automated WhatsApp reply or a page on your website could answer. The method is close to what we describe in analyzing customer feedback with AI, with a transcription step added at the front.
What about privacy and participant consent?
Tell participants that the meeting is being recorded and will be transcribed, and get their consent. For calls with customers, add a notice at the start of the call. Then find out where the audio is processed. Some tools send it to the vendor's servers, while some models can run on your own server or on hosting you choose. For meetings that discuss sensitive data, the second option may be the better fit. Check the retention settings for recordings as well, since there is no reason to keep audio for years if the summary is enough.
Where should meeting minutes go after they are written?
Minutes that sit in one person's inbox get forgotten. It works better to send the extracted tasks to wherever your team tracks its work, whether that is a task management tool or an internal system, with the owner's name and the deadline. The summary can also be saved to the client's record in your CRM, so whoever takes over the account later finds the full history of what was agreed. This connection is usually built with simple automation tools, as we explain in workflow automation for a small company.
How do you test a transcription tool before committing?
- Collect ten real recordings, with the speakers' consent, covering different dialects and audio quality.
- Try two or three tools on them.
- Read the summaries and ask the people who attended: is this what we agreed?
- Count the errors in names and numbers specifically.
We test transcription tools on companies' own recordings and build the summary and distribution flow, connected to their systems, as part of our AI and automation solutions service. Send us a short recording with no sensitive data in it, and we will show you what its transcript and summary look like.
Questions our partners ask
Can AI transcribe spoken Arabic dialects accurately?
It transcribes them with acceptable accuracy in clear recordings, though less accurately than Modern Standard Arabic. Accuracy varies between dialects and between tools, and the only way to be sure is to test real recordings from your company.
Is the summary more accurate than the word-for-word transcript?
A summary is often useful even when the transcript has scattered word errors, because the model understands the context. Numbers, names and dates in the summary should always be checked, though.
Do we have to tell participants the meeting is being recorded?
Yes. Always tell them and get their consent. For calls with customers, check what the law requires in your country and sector.
Written by the Visual Innovate team, the people who build, host and follow up systems, websites and apps for our clients in Jordan, Saudi Arabia, Oman and Egypt.
