CallScribe is a call transcription platform built for Arabic-speaking markets. It supports Gulf (Khaleeji), Levantine, and Egyptian Arabic dialects with 85-95% accuracy (based on internal testing of 200+ call recordings, March 2026), plus English, Urdu, and Hindi. Features include speaker diarization, sentiment analysis, code-switching detection, and audio quality scoring. All processing runs on private infrastructure — no audio or transcripts leave your server. Free tier: 5 minutes/month. Business: $29/month for 500 minutes. Scale: $79/month for 3,000 minutes.
كول سكرايب هو منصة تحويل المكالمات الصوتية إلى نص مكتوب مصممة للأسواق العربية. يدعم اللهجة الخليجية والشامية والمصرية بدقة ٨٥-٩٥٪ بالإضافة إلى الإنجليزية والأردية والهندية. يتضمن تحديد المتحدثين وتحليل المشاعر وكشف التبديل بين اللغات وتقييم جودة الصوت. جميع المعالجة تتم على بنية تحتية خاصة — لا تغادر ملفاتك الصوتية أو نصوصك خوادمك. خطة مجانية: ٣٠ دقيقة شهرياً. خطة الأعمال: ٢٩ دولار شهرياً. خطة النمو: ٧٩ دولار شهرياً.
Call transcription that actually handles Gulf, Levantine, Egyptian, and code-switching. Speaker identification, sentiment analysis, and audio quality scoring — all in one platform.
No credit card required
Used by professionals in Dubai, Riyadh, and Kuwait
Tap the microphone and speak. See how CallScribe captures your voice in real time.
Tap to record (15 seconds max)
85-95%
Word accuracy on Khaleeji dialect[1]
12+
Arabic dialects supported
[1] Internal benchmark, March 2026, 200+ call recordings with SNR > 15dB. See the model card for methodology, dataset composition, and per-dialect WER breakdown.
Every transcription tool claims Arabic support. Then you upload a Khaleeji call and get gibberish. Here is what you are actually dealing with:
Most tools only handle Modern Standard Arabic. Gulf, Levantine, Egyptian? Completely ignored. Your real conversations come back as nonsense.
Sensitive call recordings shipped to US and EU data centers. No sovereignty. No compliance. No control over who accesses your audio.
Pay-per-minute APIs bleed your budget. A busy call center can burn through thousands per month on transcription alone.
When your agents switch between Arabic and English mid-sentence, other tools choke. Half the transcript is missing or mistranslated.
CallScribe was designed from day one for the dialects, privacy requirements, and workflows that matter in the GCC.
Gulf, Levantine, Egyptian, Maghrebi -- trained on real conversations, not textbook MSA. Your Khaleeji calls come back readable.
Track anger, frustration, satisfaction, and urgency for each speaker. Know exactly where a call went wrong or right.
Your audio is processed securely. Full data sovereignty with enterprise-grade encryption. No third-party API calls during transcription.
From raw audio to searchable, exportable, analyzed transcripts in minutes.
STEP 01
Drag and drop your recordings. Single files or bulk upload up to 50 at once. MP3, WAV, M4A, and more.
STEP 02
Speaker diarization, noise filtering, and dialect-aware transcription. All processing happens locally.
STEP 03
Sentiment KPIs, audio quality metrics, searchable transcripts. Export as PDF, CSV, DOCX, or SRT.
See why teams across the GCC choose CallScribe over generic transcription tools.
| Feature | CallScribe | Otter.ai | AssemblyAI | Rev |
|---|---|---|---|---|
| Arabic Dialects (Gulf, Levantine, Egyptian) | ||||
| Self-Hosted / On-Premise | ||||
| Per-Speaker Sentiment Analysis | ||||
| Code-Switching (Arabic-English) | ||||
| No Per-Minute API Costs | ||||
| Data Stays on Your Server | ||||
| Bulk Upload (50 files) | ||||
| Starting Price | Free | $16.99/mo | $0.65/hr | $1.50/min |
A complete transcription, analysis, and export toolkit built for production workloads.
Arabic, English, Urdu, Hindi -- with seamless code-switching detection
Automatically identify who said what, even with overlapping speech
Upload and process up to 50 files at once with queue management
PDF, CSV, TXT, DOCX, SRT -- formatted for your workflow
SNR scoring, mic quality grading, and background noise detection
Handles Arabic-English transitions mid-sentence without losing context
CallScribe is designed for teams that deal with Arabic calls daily — call centers, legal firms, sales teams, and compliance departments across the GCC.
Powered by Whisper large-v3-turbo, fine-tuned for Khaleeji, Levantine, and Egyptian dialects. Not just MSA — real conversational Arabic.
All processing on private infrastructure. Zero external API calls. No audio or transcripts ever leave your environment. Full data sovereignty.
Handles Arabic-English switching seamlessly — the way GCC professionals actually speak. No dropped words, no garbled output.
Most tools charge per minute or per seat. CallScribe gives you flat-rate pricing with features others charge extra for.
| Tool | Price | Arabic Dialects | Speaker ID | Sentiment |
|---|---|---|---|---|
| Otter.ai | $17/mo | |||
| Fireflies.ai | $19/user/mo | |||
| Rev.ai | $0.20/min | |||
| Gong.io | $250/user/mo | |||
| Sonix | $10/hr | |||
| CallScribe | $29/mo flat |
CallScribe is the only tool with native Gulf Arabic support and sentiment analysis — at a fraction of enterprise pricing.
Start free. Scale when you need to. No hidden fees, no per-minute charges.
Try before you commit
No credit card required
For small teams
No credit card required
For call centers
No credit card required
For platform integrations
Want to integrate this into your existing platform? Contact us!
Not sure which plan fits? Start with Free and upgrade anytime as your needs grow.
Integrate CallScribe directly into your existing platform. Our REST API gives you full programmatic control over transcription, analysis, and export -- deployed on your infrastructure.
Simple, well-documented endpoints. Upload audio, get transcripts back. JSON responses, standard HTTP.
Get notified instantly when transcription completes. Push results to your pipeline without polling.
Submit hundreds of files via API. Queue management, priority lanes, and progress tracking built in.
Fine-tune transcription models on your domain-specific vocabulary. Banking, legal, medical terminology.
// Transcribe audio via API
curl -X POST https://your-server/api/v1/transcribe \ -H "Authorization: Bearer YOUR_API_KEY" \ -F "audio=@call_recording.mp3" \ -F "language=ar" \ -F "dialect=gulf" \ -F "sentiment=true" \ -F "diarize=true"
Want to integrate this into your existing platform? Let us walk you through the setup.
Everything you need to know before getting started.
CallScribe uses Whisper large-v3-turbo, optimized for Arabic dialects. Accuracy varies by audio quality — internal testing across 200+ Gulf Arabic call recordings (March 2026) shows 85-95% word-level accuracy for Khaleeji dialect with clear audio (SNR > 15dB).
CallScribe handles all processing for you. Upload your audio and get transcripts back in minutes. No hardware requirements on your end — just a browser.
Yes. CallScribe processes audio on secure, private infrastructure. No audio or transcripts are shared with third parties. Zero external API calls during transcription. Your data stays private.
CallScribe includes built-in noise filtering and audio quality analysis. It reports SNR (signal-to-noise ratio) and mic quality scores for each file, so you know exactly what you are working with. Even with moderate background noise, the transcription engine produces usable results.
Absolutely. There are no contracts and no cancellation fees. You can downgrade or cancel your plan at any time from your dashboard. If you cancel, your data is deleted from our systems within 24 hours.
CallScribe accepts MP3, WAV, M4A, FLAC, OGG, and WebM audio files. Export formats include PDF, CSV, TXT, DOCX, and SRT for subtitle workflows.
Yes. Our Scale plan includes full REST API access with webhook callbacks and batch processing. Contact our sales team to discuss your integration requirements and get API documentation.
Yes. CallScribe uses Whisper large-v3-turbo optimized for Gulf Arabic (Khaleeji). Internal testing across 200+ call recordings shows 85-95% word-level accuracy with clear audio (SNR > 15dB). March 2026 benchmark.
Yes. CallScribe detects when speakers switch between Arabic and English mid-sentence — a common pattern in GCC business calls. Both languages are transcribed accurately.
Yes. All processing happens on private infrastructure hosted in the EU (Hetzner, Germany) with optional GCC residency via Tailscale-routed workers. No audio, transcripts, or metadata are sent to external US-based servers during transcription. CallScribe publishes a Data Processing Agreement (DPA) covering GDPR Article 28 processor obligations, sub-processor disclosures, 72-hour breach notification, and data deletion on termination. Also aligned with UAE PDPL data sovereignty.
CallScribe is tuned primarily for Khaleeji (Gulf) Arabic — including Emirati, Saudi, Kuwaiti, Qatari, Bahraini, and Omani variants — where internal benchmarks on 200+ clear-audio calls (SNR > 15 dB) show 85-95% word-level accuracy. Levantine Arabic reaches 84-88%. Egyptian Arabic 86-90%. Modern Standard Arabic 91-94%. Maghrebi dialects are not officially supported. See the /model-card page for methodology and per-dialect WER.
In internal comparisons on Khaleeji call center recordings, both AWS Transcribe and Google Speech-to-Text produced 15-25% higher word error rates than CallScribe's Whisper large-v3-turbo pipeline. AWS and Google also route audio through US regions by default, which is a compliance blocker for UAE PDPL. Pricing is flat-rate buckets instead of per-second billing, typically saving 30-60% at call center volume.
Yes. Scale-tier and enterprise customers can self-host. The stack is Docker Compose: Fastify API, Python worker running Whisper large-v3-turbo and pyannote.audio, PostgreSQL, Redis, and nginx. Typical hardware: a single GPU worker (RTX 4090 or L4) handles 10x+ realtime throughput. Tailscale connects worker nodes back to the control plane over a private mesh. Contact sales@callscribe.ae for the self-host guide.
On the shared Business tier, a 1-hour call typically completes in 4-8 minutes end-to-end — upload, transcription, diarization, sentiment analysis, and audio quality scoring. Scale tier gets priority queueing and usually 2-4 minutes. Self-hosted on RTX 4090: under 3 minutes for 60 minutes of audio (20x+ realtime). WebSocket progress updates stream live so users see per-file percent-complete.
CallScribe pre-processes each file: analyzes signal-to-noise ratio (SNR), loudness, and speech activity, then reports a per-file audio quality score. Accuracy stays in the 85-95% band above 15 dB SNR. Between 10-15 dB it degrades to the high 70s. Below 10 dB, files are flagged as low-confidence. Overlapping speakers are split via pyannote diarization — mono call recordings still work.
كل ما تحتاج معرفته عن خدمة تفريغ المكالمات العربية
CallScribe هو منصة تحويل المكالمات الصوتية إلى نص مكتوب، مصممة خصيصاً للأسواق العربية. يدعم اللهجة الخليجية والشامية والمصرية بدقة ٨٥-٩٥٪، بالإضافة إلى الإنجليزية والأردية والهندية. جميع المعالجة تتم على خوادم خاصة — لا تغادر بياناتك أبداً.
نعم. CallScribe مُحسَّن للهجة الخليجية (الكويتية، الإماراتية، السعودية، البحرينية، القطرية، العمانية). نستخدم نموذج Whisper large-v3-turbo المُعدَّل للمحادثات العربية الحقيقية وليس فقط العربية الفصحى. الاختبارات الداخلية على أكثر من ٢٠٠ مكالمة خليجية أظهرت دقة ٨٥-٩٥٪.
خطة مجانية: ٣٠ دقيقة شهرياً. خطة الأعمال: ٢٩ دولار شهرياً مع ٥٠٠ دقيقة. خطة النمو: ٧٩ دولار شهرياً مع ٣٠٠٠ دقيقة. بدون رسوم لكل دقيقة — أسعار ثابتة وشفافة.
نعم. جميع المعالجة تتم على بنية تحتية خاصة. لا يتم إرسال أي ملفات صوتية أو نصوص إلى خوادم خارجية. صفر استدعاءات API خارجية أثناء التفريغ. متوافق مع GDPR ومتطلبات سيادة البيانات في دول الخليج.
نعم. CallScribe يكتشف تلقائياً عندما يتحول المتحدث بين العربية والإنجليزية في نفس الجملة — وهو نمط شائع في مكالمات الأعمال في دول الخليج. كلتا اللغتين تُفرَّغان بدقة.
يقبل CallScribe ملفات MP3، WAV، M4A، FLAC، OGG، و WebM. صيغ التصدير تشمل PDF، CSV، TXT، DOCX، و SRT لسير عمل الترجمة.
Join teams across the GCC who switched to accurate, private call transcription. Start with the free tier — no credit card required.
No credit card required -- setup takes under 2 minutes