Hindi AI voices. Convert text to natural speech in Hindi. Free, no sign-up.
Hindi is the most-spoken language of India with roughly 340 million native speakers and another 270 million second-language speakers (Census of India 2011 baseline, extrapolated via Ethnologue 2024), making it the world's third-most-spoken native language after Mandarin Chinese and Spanish — and one of the fastest-growing TTS markets thanks to the explosion of OTT streaming (Hotstar, JioCinema, MX Player, ZEE5), YouTube creator content (India is YouTube's largest market by user count according to YouTube India's 2024 Pulse Report), and mobile-first e-learning across the subcontinent. EasyVoice ships 4 Hindi voices on the Kokoro engine: hf_alpha and hf_beta (female), hm_omega and hm_psi (male). They render Devanagari script natively — paste हिंदी text directly, no transliteration needed — and produce natural-sounding output suitable for narration, voiceover, OTT dubbing pre-visualization, and conversational content. Common Hindi use cases: OTT and YouTube content dubbing into Hindi, Hindi-language podcasts (a fast-growing format on Spotify and Apple Podcasts India), e-learning courses for Indian K-12 and competitive exam prep markets (the segment dominated by Byju's, Vedantu, Unacademy, and PhysicsWallah), IVR and outbound voice for Indian call centres and fintech onboarding, and accessibility read-aloud for Hindi government portals and news sites. India's price-sensitive market makes EasyVoice's flat $9.99/mo plan especially compelling vs ElevenLabs' per-character billing — which can run into thousands of dollars per month for a busy Hindi YouTube channel processing 100K+ characters daily. Grand View Research's 2024 India Text-to-Speech Market Report projects the Indian TTS market to grow at a CAGR of approximately 16-19% through 2030, driven by EdTech demand, accessibility compliance under the Rights of Persons with Disabilities Act 2016, and the rapid expansion of conversational AI in regional Indian languages.
EasyVoice's Hindi voices target standard Khari Boli Hindi — the prestige register used by All India Radio (Akashvani), Doordarshan, Bollywood narration, and most professional Mumbai/Delhi-based Hindi voice work. The output uses the standard Hindustani phonology (retroflex t/d, aspirated consonants, schwa deletion in word-final positions where appropriate) and renders Delhi/Standard Hindi most natively, with Mumbai-flavoured Hindi (slightly more nasalized vowels, faster cadence) handled reasonably well. The voices avoid the strong regional substrate accents of Bhojpuri, Awadhi, Bundeli, Marwari, or Punjabi-flavoured Hindi. We do not currently ship Urdu voices (Urdu shares phonology with Hindi but uses Nastaliq script and Persian/Arabic vocabulary in formal registers), regional dialect voices, or Indian-English voices — Indian English content is typically routed through our British English voices (bf_emma, bm_daniel) which Indian listeners find natural, or through American English depending on the audience. Code-mixed Hinglish (Hindi + English in the same sentence) renders correctly when written in Devanagari with English words inline; deep code-mixing in Roman script is best handled by sending the Hindi portion in Devanagari.
Delhi-baseline Hindi is the prestige register codified in All India Radio broadcasting, Doordarshan news, NCERT textbooks, and the bulk of Bollywood narration. It uses standard Khari Boli phonology with clean retroflex/dental distinctions, controlled schwa deletion, and a measured cadence. All 4 EasyVoice Hindi voices target this baseline by default — hf_alpha and hm_omega are particularly clean on Delhi-style content. For pan-Indian Hindi content (national-reach YouTube, Doordarshan-style narration, government accessibility audio), this is the correct default.
Mumbai Hindi — sometimes called Bambaiya or Bombay Hindi — features slightly more nasalized vowels, faster default cadence, and code-mixing with Marathi, Gujarati, and English words drawn from the city's commercial-film and trader contexts. It is the dominant on-screen variety in mainstream Bollywood dialogue. EasyVoice voices do not specifically target Bambaiya, but hf_beta and hm_psi handle Mumbai-flavoured scripts (especially when written with code-mixed English) reasonably well thanks to their slightly looser default prosody compared to hf_alpha and hm_omega. For studio-grade Bollywood dub pre-visualization, the output is suitable for animatic and scratch tracks; for final delivery a human Mumbai-based voice actor remains the better choice.
UP Hindi — the variety spoken across Lucknow, Kanpur, Allahabad, and the wider Hindi belt — sits closer to Khari Boli than to the dialects (Awadhi, Bhojpuri, Braj) historically associated with the region, but carries a slightly slower cadence and more pronounced vowel length in the prestige Lucknow register. EasyVoice voices, being trained on Standard Hindi, render UP-style content acceptably but do not reproduce the deeper Awadhi or Bhojpuri vowel features that mark heavily rural UP speech. For Uttar Pradesh-targeted EdTech and government content, the standard voices work; for content explicitly Awadhi or Bhojpuri, a regional voice specialist would be needed.
Madhya Pradesh Hindi — the prestige Bhopal register and the wider MP belt — is closer to Standard Hindi than UP or Bihari varieties, with a slightly cleaner phonology and minimal regional substrate. EasyVoice's hf_alpha and hm_omega voices render MP-targeted content as natural Standard Hindi without flagging any regional difference. The MP region is a significant EdTech market (large NCERT-curriculum K-12 audience), and EasyVoice's Hindi voices are a practical fit for that segment.
Three popular Hindi voices — listen to samples and explore details.
Standard Khari Boli Hindi female — clean broadcast register, ideal for Doordarshan-style narration, EdTech, and Hindi-language accessibility audio. The most versatile female voice for pan-Indian content.
Deep, measured Hindi male — the audiobook-narrator voice in the Hindi catalog, strong for nonfiction narration, documentary work, and authoritative IVR/contact-center applications.
Warmer, slightly more conversational Hindi female — looser prosody than hf_alpha, suits Bollywood-style narration, podcast hosting, and code-mixed Hinglish creator content.
Standard Khari Boli Hindi female — clean broadcast register, ideal for Doordarshan-style narration, EdTech, and Hindi-language accessibility audio. The most versatile female voice for pan-Indian content.
Warmer, slightly more conversational Hindi female — looser prosody than hf_alpha, suits Bollywood-style narration, podcast hosting, and code-mixed Hinglish creator content.
Deep, measured Hindi male — the audiobook-narrator voice in the Hindi catalog, strong for nonfiction narration, documentary work, and authoritative IVR/contact-center applications.
Mid-baritone Hindi male — slightly faster default cadence and more expressive range than hm_omega, suited to YouTube explainer content, Hindi-language tutorials, and Bollywood dub scratch tracks.
What teams typically build with Hindi voices on EasyVoice.
India's EdTech segment — dominated by Byju's, Vedantu, Unacademy, PhysicsWallah, and a long tail of Hindi-language tutoring platforms — serves hundreds of millions of K-12 and competitive-exam (JEE, NEET, UPSC) students who consume content primarily on mobile. Hindi-language video lectures and audio explainers are core inventory for these platforms, and the marginal cost of generating Hindi voiceover at scale historically required hiring teams of voice actors. EasyVoice's hf_alpha and hm_omega voices produce broadcast-quality Hindi narration suitable for lecture audio, audio summaries, and study-guide read-alouds — at $9.99/mo flat unlimited, the cost structure shifts from per-script voice-talent fees to a fixed SaaS line item. EdTech platforms also use the Pro API for batch generation as part of their content pipelines.
Bollywood pre-production and OTT dubbing pipelines (Hotstar, JioCinema, ZEE5, Netflix India, Amazon Prime Video India) routinely need Hindi scratch tracks for animatic, storyboard, and pre-visualization work — placeholder audio used during edit and director review before final voice talent is booked. EasyVoice's Hindi voices, particularly hf_beta (warmer female) and hm_psi (expressive male), are well-suited to this scratch-track role: natural-sounding enough to convey performance intent without the cost or scheduling overhead of booking voice actors for placeholder work. For final delivery, human voice talent remains the industry standard, but for the pre-vis layer of the pipeline EasyVoice replaces a significant recurring expense.
The Rights of Persons with Disabilities Act 2016 mandates accessible content for government, educational, and public-service digital platforms in India, with audio-format alternatives (read-aloud, audio-described content) being a key compliance requirement for visually-impaired users. Hindi is the largest single language for compliance given its reach across the Hindi-speaking belt (UP, MP, Bihar, Rajasthan, Haryana, Delhi, Jharkhand, Chhattisgarh, Uttarakhand, Himachal Pradesh). EasyVoice's Hindi voices — hf_alpha for neutral broadcast clarity, hm_omega for authoritative read-aloud — are practical choices for government portals, public-service websites, and educational platforms generating Hindi-language audio for accessibility compliance.
India's roughly 800 million internet users (Statista 2024) include a rapidly growing rural Hindi-speaking segment for whom audio-first content is the default consumption mode — driven by literacy variability, bandwidth constraints, and the shift to mobile-only access. Hindi-language audio news platforms, podcasts, and explainer audio (covering agriculture, government scheme updates, financial literacy, healthcare information) increasingly use TTS to scale content production beyond what human voice talent can deliver daily. EasyVoice's flat-pricing model is particularly compelling for these audio-news operations, where daily content output of 20,000-50,000 Hindi characters would make per-character billing prohibitive.
Indian fintech onboarding (Paytm, PhonePe, CRED, Zerodha, Groww), insurance-tech (Acko, Digit), and contact-center operations across Tier 2 and Tier 3 cities increasingly require Hindi-language IVR, outbound voice notifications, OTP voice-call delivery, and customer-support voicebots. EasyVoice's hm_omega voice is a natural fit for authoritative IVR ('आपका OTP है...' — 'Your OTP is...'), and hf_alpha works well for friendlier support flows. The Pro API integrates with Twilio's India infrastructure, Exotel, MyOperator, and other Indian telephony platforms; audio can be delivered as 8 kHz μ-law WAV for telephony format compliance. The cost difference vs ElevenLabs at fintech-scale Hindi volume is decisive.
EasyVoice's Hindi voices support both Devanagari script (देवनागरी) and transliterated Roman Hindi (Hinglish-style romanization), with Devanagari producing materially higher-quality output. The recommended workflow is to paste Hindi text in Devanagari directly — हिंदी, नमस्ते, मुंबई, धन्यवाद all render correctly without manual romaji conversion. The Hindi script-to-phoneme pipeline handles standard Devanagari orthography including conjunct consonants (संयुक्त अक्षर like क्ष, त्र, ज्ञ), the chandrabindu (ँ), anusvara (ं), visarga (ः), and the full range of vowel diacritics (मात्रा). Schwa deletion — the rule by which the inherent 'a' vowel in word-final consonants is dropped (so कमल reads as 'kamal' rather than 'kamala') — is applied automatically in standard contexts. For transliterated Roman Hindi input ('namaste mumbai dhanyavad'), the model performs reasonably but the phonetic mapping is imperfect; specifically, the distinction between aspirated and unaspirated consonants (क/ख, त/थ, प/फ) and retroflex vs dental consonants (ट/त) is lost without diacritics, so output may sound slightly Anglicized. For production Hindi work, sticking to Devanagari is strongly recommended; for casual or developer testing with Roman Hindi, the output is intelligible if not studio-grade. Code-mixed Hinglish content (Hindi sentences containing English brand names, technical terms, or whole English clauses) works best when the Hindi portions are in Devanagari and the English portions are in Latin script inline — the model context-switches between the two scripts cleanly.
India's TTS market is one of the fastest-growing in the world. Grand View Research's 2024 India Text-to-Speech Market Report projects the segment to grow at a CAGR of approximately 16-19% through 2030, driven by three structural forces: (1) the rapid expansion of EdTech, where companies like Byju's, Vedantu, Unacademy, and PhysicsWallah serve hundreds of millions of K-12 and competitive-exam students who consume Hindi-language video content on mobile — making automated Hindi voiceover at scale a critical cost lever; (2) accessibility compliance under the Rights of Persons with Disabilities Act 2016 (RPwD Act), which mandates accessible content for government, educational, and public-service digital platforms, with Hindi being the largest single language for compliance; and (3) the OTT and creator economy, where YouTube India is YouTube's largest market by user count per YouTube India's 2024 Pulse Report, and where Hotstar, JioCinema, MX Player, ZEE5, and Amazon Prime Video India all run massive Hindi dubbing pipelines for both Indian and Hollywood content. Statista's 2024 India Digital Adoption Report further documents that India crossed 800 million internet users in 2024, with mobile-first consumption dominating — a market structure that favours audio-first content (podcasts, video voiceover, accessibility audio) for users on data-constrained or low-bandwidth connections. For Indian creators and EdTech platforms, EasyVoice's flat $9.99/mo Pro plan (roughly ₹830/mo at 2026-05-31 INR rates) is materially cheaper than ElevenLabs (which can exceed ₹8,000/mo for a busy Hindi YouTube channel under per-character billing) and Google Cloud TTS (which requires GCP project setup and credit-card billing in USD). The price-to-quality ratio is the wedge: Kokoro's open-source-friendly licensing and EasyVoice's flat pricing remove the budget barrier that has historically kept Indian indie creators on free, robotic-sounding alternatives.
आज हम एक नई दुनिया की ओर कदम रख रहे हैं, जहाँ तकनीक और रचनात्मकता मिलकर नई संभावनाएँ खोलती हैं। इस यात्रा में आपकी आवाज़ आपकी पहचान है — चाहे आप कोई कोर्स बनाएं, पॉडकास्ट होस्ट करें, या यूट्यूब चैनल चलाएं। (English gloss: "Today we step into a new world, where technology and creativity open new possibilities together. On this journey, your voice is your identity — whether you create a course, host a podcast, or run a YouTube channel.")
hf_alpha (female) and hm_omega (male) deliver the cleanest retroflex consonant distinctions (ट/ड vs त/द) and are the safest choices for formal Doordarshan-style or EdTech narration. hf_beta and hm_psi have a looser prosodic baseline that suits faster-cadence conversational and Bollywood-style scripts, though their retroflex clarity is slightly less crisp on technical terminology. When your script includes Urdu loanwords with nukta diacritics (ख़याल, ज़िंदगी), using the standard Devanagari form without the nukta produces more reliable output. For code-mixed scripts — Hindi in Devanagari alongside English brand names in Latin script — keeping each language in its own script per clause produces the cleanest model context-switch.
4 Hindi voices: 2 female (hf_alpha, hf_beta) and 2 male (hm_omega, hm_psi), all in standard Khari Boli Hindi rendered from Devanagari script. They're Pro-tier — a $9.99/mo subscription (roughly ₹830/mo at current INR rates) unlocks all 4.
Yes — both are supported, with Devanagari producing materially higher-quality output. Paste Hindi in Devanagari directly: हिंदी, नमस्ते, मुंबई, धन्यवाद all render correctly without manual romaji conversion, including conjunct consonants, chandrabindu, anusvara, and automatic schwa deletion. Roman Hindi ('namaste mumbai dhanyavad') works but loses the aspirated/unaspirated and retroflex/dental distinctions that matter for natural-sounding Hindi. For production work, stick to Devanagari; for casual or developer testing, Roman Hindi is intelligible. Code-mixed Hinglish (Hindi in Devanagari + English brand names inline) is fully supported and is the recommended format for OTT, fintech, and creator content.
For Bollywood-style scratch tracks and pre-visualization, hf_beta (warmer, looser female prosody) and hm_psi (expressive mid-baritone male) are the most natural fits — they handle code-mixed Mumbai-flavoured Hindi reasonably well. For more measured documentary-style Bollywood narration (heritage pieces, biographical features), hf_alpha and hm_omega are the cleaner picks. For final-delivery Bollywood dubbing, human voice talent remains the industry standard, but for the pre-vis layer of the pipeline EasyVoice replaces a significant recurring expense.
Yes — that is one of the use cases EasyVoice's Hindi catalog is well-suited to. The RPwD Act 2016 mandates accessible content for government, educational, and public-service digital platforms in India, and Hindi-language audio alternatives are core to compliance for the Hindi-speaking belt. hf_alpha (clean neutral female) and hm_omega (authoritative deep male) are the typical picks for read-aloud accessibility audio. Pro commercial use includes government, public-service, and accessibility-compliance work with no additional licensing fees.
EasyVoice's Pro plan is $9.99/mo flat — at INR rates as of 2026-05-31, that is roughly ₹830/mo (rates fluctuate; check pricing.html for current USD pricing). The free tier is 5,000 characters per day with no credit card and no signup wall — enough for casual Hindi generation indefinitely. Compare to ElevenLabs Creator at $22/mo for limited characters, which can balloon past ₹8,000/mo for a busy Hindi YouTube channel under per-character billing. For Indian indie creators and EdTech platforms, the flat-pricing structure is the decisive advantage.
Yes — Hindi YouTube creators are one of our fastest-growing user segments, driven by YouTube India being YouTube's largest market by user count (per YouTube India's 2024 Pulse Report). Pro commercial use covers monetized YouTube content, sponsorship reads, course promotional audio, and channel intros. The flat $9.99/mo Pro plan is materially cheaper than ElevenLabs for the typical daily-output Hindi creator producing 20,000+ Hindi characters per day across long-form videos and Shorts. The API integration supports direct ingestion into CapCut, Premiere Pro, DaVinci Resolve, and Descript pipelines.
EasyVoice's TTS endpoint is served from EU infrastructure (Hetzner, Falkenstein region), so end-to-end latency from India is in the roughly 200-400 ms range plus generation time, depending on the user's ISP routing. For interactive use cases (chatbot voice, live IVR streaming) this is acceptable; for batch generation (audiobook drafts, YouTube voiceover pipelines) latency is not a meaningful factor since generation runs ahead of consumption. India-region edge deployment is on the longer-term roadmap; for latency-critical Indian deployments today, audio can be pre-generated and cached at the application layer.
Not yet — Hindi is our only South Asian language today. Urdu (which shares phonology with Hindi but uses Nastaliq script), Bengali, Tamil, Telugu, Marathi, Punjabi, Gujarati, Kannada, and Malayalam are all tracked on our expansion roadmap. For Indian English content, Indian listeners typically find our British English voices (bf_emma, bm_daniel) natural; American English voices also work for younger, internet-native Indian audiences.
Pro accounts handle effectively any length — long-form Hindi narration is chunked and stitched server-side with no per-character cap. A 2-hour Hindi documentary script (typically 18,000-22,000 Devanagari characters) generates without overage charges. For audiobook-scale work (full Hindi novels of 100,000+ characters), generation runs in batched chunks via the Pro API, which is the recommended workflow for that scale.
मुफ्त हिंदी टेक्स्ट टू स्पीच — Free Hindi text to speech on EasyVoice gives you 5,000 characters per day at no cost, no credit card required. Paste Devanagari directly — हिंदी, नमस्ते, मुंबई work without any conversion — and generate ready-to-use MP3 audio in seconds. For unlimited generation across all 4 Hindi voices, the Pro plan is approximately ₹830/mo at current INR rates: a flat monthly fee that makes daily Hindi YouTube content, EdTech narration, and IVR audio far cheaper than per-character billing alternatives.