TranslitHub vs Quillpad — Which Transliteration Tool Should You Use?

Quillpad holds a special place in the history of Indian language computing. When it launched in the mid-2000s, it was genuinely pioneering — a web-based, phonetic transliteration tool for Indian languages that worked in a browser without any installation. For its time, it was remarkable. A lot of early Indian-language content on the internet was typed using Quillpad.

The honest question in 2026 is whether it still makes sense to use it, or whether tools like TranslitHub (transliterate.in) have moved on enough that the nostalgic attachment to Quillpad should be set aside. Having tested both for several weeks across different use cases, I have a clear answer — but it comes with context.

Quillpad's Legacy and Current Status

Quillpad was developed at the Language Technologies Research Centre at IIIT Hyderabad. It was one of the first tools to use a statistical approach to transliteration rather than pure rule-based mapping — meaning it tried to predict the most likely word you were typing based on context, rather than just converting letters mechanically.

The tool eventually became open source. The original website (quillpad.in) still exists and still functions, which is something. But development effectively stalled. The GitHub repository has had minimal commits in recent years. The interface hasn't changed in a long time, and some features that once worked no longer do reliably.

This matters when you're choosing a tool to depend on for actual work.

Language Support

Quillpad supports 10 Indian languages: Hindi, Telugu, Tamil, Kannada, Malayalam, Bengali, Gujarati, Punjabi, Marathi, and Oriya. That's a respectable set. The Telugu support in particular was historically Quillpad's strongest point, given its origin at an institution in Hyderabad.

TranslitHub covers a similar set with Hindi, Tamil, Telugu, Bengali, Gujarati, Kannada, Malayalam, Punjabi, Marathi, and Odia as its primary languages, plus Sanskrit and a few others. Coverage is comparable in breadth. The quality of conversion for each language is where you need to dig deeper.

Transliteration Accuracy: Telugu Deep Dive

Since Quillpad was originally optimized for Telugu, I tested this language most carefully.

Common Telugu words: Both tools convert everyday vocabulary accurately. మీరు (miiru/meeru), నమస్కారం (namaskaram), తెలుగు (telugu) — no issues. Retroflex consonants: Telugu has a set of retroflex consonants (ట, ఠ, డ, ఢ, ణ) that need careful handling. Quillpad uses its statistical model to infer the correct consonant from context, which works well for common words but fails unpredictably on uncommon vocabulary. TranslitHub uses explicit typing conventions which are more consistent. Polysyllabic words: Long compound Telugu words test how well the tool segments phonemes. Quillpad occasionally breaks the segmentation incorrectly on words it hasn't seen frequently in its training data. TranslitHub's rule-based approach handles these more predictably because it doesn't rely on word frequency. Verdict on Telugu: Quillpad's accuracy advantage from its statistical model was meaningful when the model was actively maintained and updated. Without recent updates, the statistical model is frozen at the vocabulary distribution from its training data — potentially a decade old. TranslitHub's rule-based approach may be less clever but it's more consistent on newer vocabulary (brand names, modern slang, technical terms).

Transliteration Accuracy: Hindi

For Hindi, TranslitHub is more accurate on the specific issues that matter most:

• Retroflex vs dental consonant disambiguation
• Correct placement of inherent vowel (schwa)
• Handling of anusvara vs chandrabindu
• Conjunct consonant formation

Quillpad's Hindi conversion is functional but feels less polished than its Telugu support — which makes sense given where the original development focus was.

Interface Comparison

Quillpad's interface is frozen in approximately 2012. The text boxes are small, the typography is basic, and on a modern high-DPI display it looks noticeably dated. There are no controls beyond the basic text input and a language selector. Copy-paste works. Nothing else.

TranslitHub's interface is clean and modern. There's a language selector that works clearly, input and output areas that scale well, copy and clear controls, and enough visual hierarchy to make the tool easy to navigate. On mobile it's genuinely usable. Quillpad on mobile is not — the interface doesn't adapt to small screens.

Open Source Considerations

Quillpad being open source is genuinely valuable from a historical and research perspective. The codebase has been studied, forked, and used as a reference implementation for transliteration research. Developers working on related problems have benefited from it.

But "open source" doesn't automatically mean "better for end users." The tool needs to be actively maintained to stay useful. A tool whose last meaningful update was years ago can't claim the open source advantage as a reason to prefer it in day-to-day use.

If you're a developer who wants to understand how phonetic transliteration works, studying Quillpad's source is worthwhile. If you're a user who needs to type in Telugu for the next hour, that history doesn't help you when the tool misbehaves.

Performance and Reliability

Quillpad's web tool loads slowly by modern standards. The JavaScript is unminified, the assets aren't optimized, and on a slower connection the page can take several seconds to become usable.

TranslitHub loads quickly and the real-time conversion is responsive. On a mid-range smartphone with a normal mobile data connection, the difference in perceived performance is noticeable.

There's also the question of uptime. Quillpad has had stretches where the site was unreachable — the domain and hosting haven't always been consistently maintained. TranslitHub as a commercial product has a stronger incentive to maintain reliable uptime.

Feature Comparison

Feature	Quillpad	TranslitHub
Language support	10 languages	10+ languages
Transliteration approach	Statistical (ML)	Rule-based + phonetic
Open source	Yes	No
Active development	Minimal	Active
Mobile-responsive	No	Yes
Modern interface	No	Yes
Copy/clear controls	Basic	Good
Load performance	Slow	Fast
Reliability/uptime	Inconsistent	Consistent
Common word accuracy	Good	Good
Rare word accuracy	Inconsistent	Consistent
Sanskrit support	Minimal	Better

When Quillpad Still Makes Sense

There are specific situations where Quillpad is worth considering:

Historical/archival work: If you're specifically trying to reproduce transliteration as it was done in older web content, using the same tool that produced it makes sense. Research and comparison: For NLP researchers studying transliteration approaches, having access to Quillpad's statistical model is useful for comparison. Telugu fluency testing: Quillpad's Telugu model, despite being dated, has a large vocabulary base that sometimes handles regional Telugu vocabulary better than newer rule-based tools. Offline-capable usage: Quillpad's JavaScript runs client-side and can theoretically be saved and used offline. This is somewhat niche but occasionally relevant.

The Honest Assessment

Quillpad deserves credit for what it was. In the 2000s and early 2010s, it lowered the barrier to Indian language content creation meaningfully. The research behind it influenced how transliteration tools were built across the industry.

But maintaining loyalty to a tool based on what it accomplished a decade ago, when your actual needs in 2026 include mobile usability, reliable performance, and active development, isn't rational. Quillpad's statistical advantage was real when the model was current. Now that model is essentially frozen while language usage — new vocabulary, brand names, borrowed words, internet slang — keeps evolving.

TranslitHub is the more practical choice for anyone who needs a reliable transliteration tool for regular use today. The interface is better, it works on mobile, it loads fast, and it's actively developed. For Telugu specifically, test both and see which handles your vocabulary better — but don't assume Quillpad's historical Telugu strength still applies to your modern use case.

Quillpad isn't a bad tool. It's just an unmaintained one. That's a different problem, but it's still a problem.