Can AI clip a Nepali-language podcast into shorts?

ClipNepal transcribes Nepali audio directly, scores every candidate moment, and renders vertical clips with the captions burned in. The transcription is prompted for Nepali in Devanagari rather than romanised, and English loanwords are kept in Latin script where the speaker used English.

Why do Nepali captions render as empty boxes or broken letters?

Most caption fonts have no Devanagari coverage, so they draw a row of empty boxes, and most subtitle renderers do no shaping, so conjuncts decompose. Captions have to be rendered by something that shapes Devanagari and in a font that carries the Devanagari block, including the virama that forms every conjunct.

Which fonts can set Devanagari captions?

Khand, Teko and Mukta are display faces with full Devanagari coverage, and Noto Sans Devanagari covers the script in weights up to Black. Khand and Teko draw the Devanagari digits as Western figures, so ५० renders as 50 in either of them.

What does an Opus Clip alternative for Nepali need that an English one does not?

A transcriber prompted for Nepali rather than auto-detect, a caption renderer that shapes Devanagari conjuncts, fonts that carry the script, and clip boundaries that land on Nepali word edges rather than mid-word.

For Nepali Podcasters & Creators

Turn 90-minute Nepali podcasts into viral vertical shorts in seconds.

ClipNepal automatically extracts peak conversation moments, generates hook scores out of 99, and burns in perfectly shaped Devanagari captions with zero manual timeline scrubbing.

No credit card requiredHarfBuzz Devanagari typography1080p full HD export

Core Capabilities

Engineered specifically for short-form virality

Native AI

Nepali Speech Understanding

Trained on authentic conversational Nepali with dialect support and automatic recognition of English loanwords in Nepali dialogue.

Retention Engine

99-Point Virality Scoring

Evaluates candidate clips across Hook Strength, Narrative Flow, Value Density, and Short-Form Trend fit so you only publish high-retention moments.

Dynamic Crop

Speaker-Aware 9:16 Framing

Automatically centers whoever is speaking using intelligent face detection and camera easing, or stacks dual hosts into split-screen mode.

HarfBuzz Shaped

Devanagari Font Perfection

Captions rendered with HarfBuzz complex text shaping using Khand, Teko, and Mukta fonts—no broken conjuncts or missing halants.

Technical Benchmark

Why standard clippers fail on Nepali podcasts

English-first tools like Opus Clip, Submagic, and CapCut were never engineered for Nepali speech acoustics or Devanagari script syntax.

Feature

ClipNepal

Other Tools

Devanagari Conjunct Shaping

✓Full HarfBuzz shaping; complex conjuncts (त्र, ज्ञ, द्ध) render flawlessly

✕Breaks conjuncts into detached characters with visible halants or question boxes [?]

Nepali Dialects & Loanwords

✓Recognizes English loanwords (laptop, meeting, startup) naturally embedded in Nepali

✕Forces unnatural phonetic spellings or drops the sentence entirely

Nepali Glossary / Vocab

✓Built-in dictionary of Nepali public figures, politicians, and geographic locations

✕Zero awareness of Nepali cultural entities and local names

Active Speaker Detection

✓Critically damped camera easing and multi-face stacked layouts

✕Rapid jerky cuts or rigid center crops that cut off side guests

Simple 3-Step Flow

How to create clips in 3 minutes

Paste your podcast link

Drop a YouTube podcast link or upload an MP4/MOV file up to 2 hours long.

AI curates the best moments

Our model transcribes the speech, evaluates viral potential, and generates 5–15 ready-to-share vertical clips.

Review and export in 1080p

Adjust subtitle colors, font sizes, and layout in the browser, then download your watermark-free short ready for TikTok, Reels, and Shorts.

Frequently Asked Questions

Questions creators ask

Can AI really understand Nepali podcast speech accurately?

Yes. ClipNepal uses Gemini speech recognition specifically prompted for Devanagari transcript output, backed by custom glossaries of Nepali politicians, celebrities, and slang. Code-switching between Nepali and English is transcribed cleanly.

How does the virality score work?

Every candidate clip is graded from 1 to 99 across four pillars: Hook (0-25), Flow (0-25), Value (0-25), and Trend (0-24). The AI gives you a written explanation for why a clip scored high or low so you can make informed curation decisions.

What aspect ratios are supported?

ClipNepal supports 9:16 vertical (TikTok, Instagram Reels, YouTube Shorts), 1:1 square (LinkedIn, Twitter/X), and 16:9 landscape.

Is there a free trial?

Yes. You can get started completely free with monthly processing credits without entering a credit card.

Ready to automate your clip production?

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