Use case · Arabic e-learning
Narrate Arabic e-learning courses at instructor quality.
E-learning courses scale linearly with narration cost when an instructor records every module. Hakim collapses that cost: one script, fifteen Arabic dialects, instructor-tone voices tuned for educational register. Render a 12-module course in under an hour. Outputs drop directly into the SCORM packagers your LMS already runs (Moodle, Articulate, Coursera, regional Arabic LMS platforms).
Three steps from script to LMS
Bring your module script
Markdown, plain text, or SSML for fine prosody control. Hakim accepts course manuscripts up to 200,000 characters per batch (a full multi-module course). Module markers in the script become chapter timestamps in the output, so the LMS sees per-module audio it can lock to per-module quizzes.
Pick instructor voice and dialect
The e-learning catalogue ships dedicated instructor voices: lecture-paced, lightly-emphasised, calibrated for retention rather than entertainment. Filter by dialect (MSA for pan-Arab courses, regional dialects for country-targeted versions), gender, and energy (calm, engaged, structured).
Render with module timestamps
Submit the script via the batch endpoint. Receive per-module audio plus a master mixdown plus a CSV of module timestamps. The CSV imports directly into Moodle, Articulate, Coursera ingest, and the regional Arabic LMS platforms; chapter markers align to per-module quizzes without manual time-coding.
Built for e-learning production
Lecture-tone instructor voices
Educational narration is its own register: slower than news anchor, more deliberate than podcast host, structured around comprehension rather than engagement. Hakim Faseeh v2's e-learning voice catalogue was built on instructor corpora across the GCC, Egypt, and the Levant. The voices read like teachers, not news readers.
Render the same course in every dialect
One source script, multiple dialect renders in a single batch. The same Module 3 lecture lands in MSA for pan-Arab regions, Egyptian for North Africa, Khaleeji for the Gulf, all from a single submission. Instructors targeting multi-country audiences ship every regional version in parallel without re-writing scripts.
SSML prosody for technical content
Technical e-learning courses benefit from SSML controls:
<emphasis>on key terms,<break>between concepts,<prosody rate>to slow down equation reads,<phoneme>for proper pronunciation of imported terms. The defaults handle plain prose; SSML kicks in for the technical pieces.LMS-native outputs
Per-module audio (WAV at 48 kHz for masters, MP3 at 96 kbps for distribution), plus a master mixdown, plus a CSV of module timestamps. The CSV imports into Moodle, Articulate, Coursera ingest, and the regional Arabic LMS platforms. Chapter markers align to module quizzes without manual time-coding.
Request
Course render in five lines
curl https://api.tryhakim.ai/v1/tts/batch \
-H "Authorization: Bearer $HAKIM_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "hakim-arab-v2",
"voice_id": "hala-msa-instructor",
"script_url": "https://your-bucket.s3.amazonaws.com/course-12.md",
"format": "elearning_pack",
"webhook_url": "https://your-app.com/hakim/done"
}'Built for these e-learning workflows
Coursera and global MOOCs
Global MOOC platforms hosting Arabic-language tracks. The catalogue's MSA instructor voices land cleanly in the Coursera ingest format; per-module timestamps import via Coursera's CSV pipeline. Ship one course in MSA and a regional dialect variant in parallel from the same source script.
Regional Arabic LMS platforms
Hosted Arabic LMS platforms (Edraak, Maharah, Rwaq, regional university LMS) that prefer regional dialect narration over MSA. The dialect catalogue covers Khaleeji for Gulf-targeted courses, Egyptian for North Africa, Levantine for Mashriq. The same source script renders in every dialect without rewriting.
Corporate L&D and onboarding
Internal corporate training, onboarding modules, compliance training. Brand voice cloning available so the same instructor voice carries every internal course; the dialect catalogue covers regional teams without flying instructors to record per-region. SCORM packaging fits Articulate Storyline, Rise, Adobe Captivate.
K-12 and higher-ed Arabic content
Arabic-language K-12 platforms and higher-education content libraries. MSA for the formal canon (Arabic literature, religious studies, history), regional dialects for contemporary subjects where colloquial register helps retention. Voice cloning for instructor-led courses where the instructor's voice is part of the brand.
