Voice, Language & Vision
Every call and meeting, transcribed and searchable
Your calls, meetings and field recordings hold information nobody ever reads back. We build transcription that handles Saudi dialect and English mixed in the same sentence, and puts the text where your team already works.
2 to 4
weeks to a working first version
24/7
processing, not a business-hours queue
2
languages handled in one pass, Arabic and English
The direct answer
Speech transcription converts recorded or live audio, phone calls, meetings, site recordings, into accurate written text. It is for teams whose important information lives in audio nobody has time to replay: call centers logging customer issues, sales teams recapping meetings, or operations staff capturing site notes. The output is searchable text delivered into the systems you already run, not a standalone tool.
What this removes.
Calls nobody reviews
Today
Customer calls get recorded and then sit in a folder. Nobody has time to relisten, so complaints and commitments get lost.
With the system
Every call becomes searchable text within minutes. Search a customer name or a product issue across months of calls in seconds.
Meeting notes depend on one person
Today
Whoever attends a meeting writes the notes from memory afterward, if at all. Decisions and action items get missed.
With the system
The meeting transcribes itself. Action items and decisions are pulled out automatically and sent to the people responsible.
Mixed Arabic-English speech breaks generic tools
Today
Off-the-shelf transcription tools stumble when a caller switches between Arabic and English mid-sentence, which is how most Saudi business calls actually sound.
With the system
The system is tuned on mixed-language Saudi speech, so a call that moves between dialect and English comes out readable, not garbled.
Field notes never make it into the system
Today
Technicians and inspectors record voice notes on-site that get typed up days later, if at all, losing detail with every delay.
With the system
Voice notes are transcribed the same day and land directly in the job or inspection record, with no re-typing step.
What lands in your hands.
Arabic and English transcription engine
Tuned for Saudi dialect and code-switched speech, not generic accents.
Speaker separation and labeling
Distinguishes who said what on multi-party calls and meetings.
Custom vocabulary tuning
Product names, brand terms and industry jargon recognized correctly.
Searchable transcript archive
Every transcript indexed and searchable by keyword, date or speaker.
System integration
Transcripts land in your CRM, ticketing system or shared drive, not a separate portal.
Summary and action-item extraction
Key points and follow-ups pulled from long calls and meetings automatically.
Systems and platforms we work with
- OpenAI
- Anthropic
- Google Gemini
- Meta
Systems and platforms we work with
- React
- Next.js
- TypeScript
- Node.js
- Python
- Flutter
- PostgreSQL
- Supabase
- Tailwind CSS
- Docker
- GitHub
- Google Cloud
- Figma
Five stages. You sign off every one.
Read each stage as a small contract: what we need from you, what lands in your hands, and the sentence that has to be true before we move on.
- Audio audit3 to 5 days
- Model tuning1 to 2 weeks
- Integration build1 to 2 weeks
- Pilot on live audio2 to 3 weeks
- Live operation and supportongoing
Audio audit
3 to 5 days
We listen to samples of your actual call, meeting or field audio to understand accent mix, background noise and the vocabulary specific to your business.
- Share sample recordings
- Name the systems transcripts should reach
- An accuracy baseline on your real audio
- A short list of terms needing custom tuning
We move on when we can show you a transcript of your own audio and you agree it is close enough to build on.
Model tuning
1 to 2 weeks
We tune the transcription model against your vocabulary and dialect mix, and set up speaker separation for multi-party recordings.
- Provide a glossary of product and company terms
- Confirm which recordings involve multiple speakers
- A tuned model tested against your audio samples
- Working speaker separation on a sample call
We move on when we can show word-level accuracy at your target threshold on real samples.
Integration build
1 to 2 weeks
We connect the transcription pipeline to wherever transcripts need to land, your CRM, ticketing tool or a shared archive, and build the search interface if you don't already have one.
- Grant access to the target system or its API
- Review the transcript format and fields
- Transcripts flowing automatically into the target system
- A searchable archive with keyword and speaker filters
We move on when a real recording goes in and the transcript lands correctly in the target system without manual steps.
Pilot on live audio
2 to 3 weeks
We run the system on a real slice of daily volume, call center shifts or a week of meetings, and correct edge cases as they surface.
- Flag any transcripts that read wrong
- Confirm summary and action-item quality
- Accuracy numbers from live volume, not test samples
- Fixes for the specific errors your audio exposed
We move on when accuracy on live audio holds at your agreed threshold for a full week.
Live operation and support
ongoing
The system runs on your full audio volume. We monitor accuracy, retune when new vocabulary or speakers appear, and stay on call for issues.
- Flag new terms or speakers as they come up
- Use the transcripts and search archive day to day
- Ongoing accuracy monitoring
- Periodic retuning as your vocabulary changes
- A direct line for issues
We move on when the first full month of live volume closes with accuracy at or above the agreed threshold.
Asked before signing.
How is this priced?
Pricing is based on audio volume (hours transcribed per month) plus a one-time setup fee for model tuning and integration. We give you a fixed quote after the audio audit, once we know your volume, language mix and integration target. No per-seat licensing.
How well does it handle Saudi dialect mixed with English?
This is the specific problem we tune for. Generic transcription tools are trained mostly on formal Arabic or standard English and struggle when a call switches between dialect and English mid-sentence. We tune the model on samples of your actual calls before going live, and report accuracy on that basis.
Where is the audio and transcript data stored?
Storage location and retention are agreed with you before the build starts, and can be set to keep data within Saudi Arabia if that is a requirement. We handle audio and transcripts under PDPL, log access, and do not use client audio to train models for other clients.
Can this connect to the CRM or ticketing system we already use?
Yes. The integration stage connects to your existing system through its API or a shared drive, whichever it supports. We do not build a separate portal you have to check in addition to what your team already uses.
Stop letting your calls and meetings go unread
Tell us what you're recording and where the text needs to land. We'll audit a sample and give you a fixed quote within days.