Hinglish Checker: Test Your Hindi–English Ratio for YouTube Scripts (Free Tool)

Hinglish Checker: Test Your Hindi–English Ratio for YouTube Scripts (Free Tool)

By Ashok Sachdev, Founder of JustShoot · Published 2026-07-07

Short answer: A Hinglish checker measures the exact split of Hindi and English words in a script. Paste any YouTube script into JustShoot's free Hinglish Ratio Checker, read the live Hindi/English/shared bar, and compare it to your niche's band: gaming benchmarks around 60–80% Hindi, tech reviews 30–50%. Holding one consistent mix matters more than hitting any single number.

I built this checker because "what's my Hinglish ratio?" was a question creators kept answering by feel — and feel drifts. This post explains what the number means, exactly how the tool computes it (no black box), the niche bands it scores against, and three real script lines with the checker's actual output for each.

Why your Hindi:English ratio is a retention lever

On Indian YouTube, your language mix is part of your format. Viewers lock onto a channel's rhythm within the first 30 seconds — when a video's mix breaks the expectation, it reads as "wrong channel" before your argument lands. A gaming channel that suddenly goes English-heavy loses its BGMI audience; a finance explainer that swings Hindi-heavy loses the urban investing crowd that came for sharp English jargon.

Two things follow, and both are measurable:

1. The band is niche-specific. There is no universal best mix. Gaming and commentary audiences expect Hindi-dominant delivery with English game vocabulary; tech and finance audiences expect English technical anchors carried by Hindi framing. Which language family to pick in the first place — Hinglish vs pure Hindi vs pure English — is a separate strategic decision, and our language-choice framework covers it in depth. This post assumes you've landed on Hinglish and now need to dial in the ratio.
2. Consistency beats the exact number. A channel that runs 60/40 in one video and 30/70 in the next forces its audience to re-learn the format every upload. Drifting ratios show up as inconsistent retention curves, and inconsistent retention slows algorithmic promotion. The goal is not "hit 65% Hindi" — it's "hit your number, every video."

You can't manage either without measuring. That's the checker's whole job.

How the Hinglish checker actually works

No AI, no upload, no account. The classifier runs entirely in your browser as you type — your script never leaves the page. Here is the exact logic:

• Tokenising. The tool splits your text into word tokens (Latin and Devanagari letters, including hyphenated and apostrophe compounds) and lowercases them. You can paste a full script, a transcript, or a single paragraph — Devanagari Hindi, romanised Hindi, English, or fully mixed all work.
• Hindi. Any token containing a Devanagari character counts as Hindi automatically. For romanised Hindi, a hand-curated dictionary of roughly 250 common Hindi-in-Latin words — hai, kyunki, matlab, dekho, samjho, yaar, bahut, nahi and friends — classifies the token as Hindi. The list is tuned toward the connector words, verbs and fillers that carry a Hinglish sentence.
• English. A second list of English stop words plus creator vocabulary (the, because, retention, thumbnail, subscribe, monetization…) classifies tokens as English.
• Shared. Everything in neither list — proper nouns, brand names, and niche jargon — lands in a third shared bucket. This bucket is honest bookkeeping, not noise, and reading it correctly matters (more on that in the worked examples).

The percentage bar updates live with the Hindi / English / shared split. Then the second layer: pick your niche — gaming, commentary/opinion, news/geopolitics, lifestyle/vlog, education/tutorial, tech review, finance/investing, faceless/multi-niche — and the tool scores your fit. The formula is transparent: fit score = 100 minus twice the gap between your Hindi percentage and the niche's target, floored at zero. Scores of 85+ read as a strong fit, 65–84 decent, 40–64 off-niche (with a note on whether you're too Hindi-heavy or too English-heavy), and below 40 a major mismatch.

Two practical limits, stated plainly: the fit score needs at least 20 words to compute, and the ratio only stabilises after about 100 words — so test full scripts or transcripts, not single lines. And the checker takes pasted text; to test a competitor's video, grab its transcript first and paste that.

The niche bands the checker uses

These are the benchmarks built into the tool — the target Hindi share each niche is scored against, and the typical band it displays:

Niche	Target Hindi share	Typical band shown
Gaming	70%	60–80% Hindi
Commentary / Opinion	65%	55–75% Hindi
News / Geopolitics	60%	50–70% Hindi
Lifestyle / Vlog	60%	50–70% Hindi
Education / Tutorial	50%	40–60% Hindi
Tech Review	40%	30–50% Hindi
Finance / Investing	40%	30–50% Hindi
Faceless / Multi-niche	50%	depends on vertical

Read the table as bands, not bullseyes. A finance script at 35% Hindi and one at 45% are both inside the working range; what the score punishes is a finance script at 70% Hindi — or a gaming script at 25%.

Three scripts through the checker: worked examples

Numbers below are the checker's real output — you can reproduce the first one yourself with the tool's built-in Try example button.

Example 1 — the built-in sample (49 words, creator-advice register). "Aaj main aapko ek aisa tarika bataunga… Most creators ignore karte hain ye step, but it makes a huge difference in audience retention…" The checker reads it as 43% Hindi / 18% English / 39% shared. Against Education/Tutorial it scores 86 — strong fit; against Tech Review or Finance, 94; against Gaming, 46 — off-niche, too English-heavy. Same words, four verdicts: the score is always relative to the audience you pick.

Example 2 — a gaming cold open (55 words). "Bhai dekho, aaj final zone mein hum aisa clutch karenge ki squad ko pata bhi nahi chalega. Bas mera plan follow karo — pehle rotate, phir push, aur last circle mein sniper se frag…" Result: 51% Hindi / 4% English / 45% shared, and a gaming fit of 62 — off-niche, reads too English-heavy. Surprising, until you look at the shared bucket: clutch, squad, rotate, frag, sniper are game jargon in neither dictionary, so they land in shared and pull the measured Hindi share below gaming's 70% target. The lesson: in jargon-heavy niches a big shared bucket is normal — read the bar alongside the score, and compare your own videos against each other over full scripts, where the connector-word signal dominates.

Example 3 — a tech-review open (42 words). "In this video we are going to review the complete camera system… Thoda sa design change hua hai, but the real upgrade is the software. Overall, ye phone under thirty thousand mein best option hai." Result: 24% Hindi / 31% English / 45% shared — a Tech Review fit of 68, decent, but a Gaming fit of 8, major mismatch. A phone-review audience expects exactly this register; the same delivery on a gaming channel would bleed viewers in the first minute.

The most useful workflow is comparative: paste your last five scripts one after another and watch whether your Hindi share holds or swings. A channel oscillating between 40% and 70% Hindi has found its retention leak — no analytics dashboard required.

From reading the number to holding it

Measuring your ratio takes a minute. Holding it across every future script is the actual work — especially once you're writing weekly, or writing for someone else's channel where their number is the target.

That second half is what JustShoot automates. The Tone Fingerprint extracts your channel's real Hindi/English/shared blend from your past videos, and every script the 9-agent pipeline writes is held inside that blend — a 65%-Hindi commentary channel never receives a 40%-Hindi draft. (Choosing an AI writer specifically for Hinglish output? See our comparison of AI tools for Hinglish script writing.) Pricing is simple: Trial ₹0 (7 days, 2 scripts, no card) · Starter ₹499/month (3 scripts) · Creator ₹999/month (4 scripts, most popular) · Studio custom — fixed scripts per month, no rollover, GST-inclusive, monthly only, and every plan gets the full pipeline.

The checker itself stays free either way: test your Hindi–English ratio now — paste your latest script and you'll have your number before the kettle boils.

FAQ

What is a Hinglish checker? A Hinglish checker is a tool that measures the percentage split between Hindi and English words in a piece of text — for example 51% Hindi / 4% English / 45% shared. JustShoot's free checker classifies every word of a pasted YouTube script as Hindi (Devanagari or romanised), English, or shared, shows the live mix, and scores how well it fits a chosen niche's benchmark on Indian YouTube.

How accurate is the Hinglish checker? It's a transparent dictionary classifier, not a language model. Devanagari detection is exact; romanised Hindi is matched against a curated list of ~250 high-frequency words covering the bulk of typical Hinglish script tokens. Words in neither list count as shared rather than being guessed. That makes single lines noisy but full scripts reliable — and comparisons between your own scripts most reliable of all.

What does the "shared" percentage mean? Shared is the bucket for words the classifier won't force into Hindi or English: names, brands, and vocabulary that belongs to both registers. A high shared percentage is normal in jargon-heavy niches — a gaming script full of clutch, rotate, frag will run 40%+ shared. Read the Hindi:English balance within the classified words, and track your shared level as its own consistency signal.

How many words should I paste for a reliable reading? The niche-fit score needs at least 20 words, and the ratio stabilises after roughly 100. For a decision you'll act on — locking your channel's target mix, or auditing retention swings — paste full scripts or transcripts, not hooks or single paragraphs.

Can the checker fix my ratio automatically? No — the checker only measures; you rewrite lines and re-test until the bar sits in your band. The automatic half lives in JustShoot's paid pipeline: the Tone Fingerprint locks your channel's measured blend, and every AI-written script stays inside it without manual prompt engineering. The checker stays free, no sign-up, and nothing you paste is uploaded or stored.

YouTube script mein kitna Hindi kitna English hona chahiye? Koi universal number nahi hai — band aapke niche pe depend karta hai: gaming 60–80% Hindi, tech review aur finance 30–50%, education 40–60%. 50/50 ek myth hai; asli target ek spectrum hai, aur apne niche ke band ke andar ek consistent mix har video hold karna kisi bhi single number se zyada matter karta hai.

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Ashok Sachdev is the founder of JustShoot, an AI Content OS for Indian YouTube creators. The free Hinglish Ratio Checker runs entirely in your browser; the paid pipeline holds your measured blend across every script it writes.