# OTS Hindi Speech Dataset > Roughly 1,000 hours of Hindi speech, prompts and conversations, already recorded and ready to license, with transcripts and metadata for every recording and consent from every speaker for commercial AI training. Source: https://indecalai.com/datasets/ots/hindi-speech-dataset/ Last updated: 2026-10-27 Publisher: IndecalAI (https://indecalai.com/) ## Key facts | | | |---|---| | Language | Hindi (hi-IN) | | Hours | Roughly 1,000, already recorded | | Content | A mix of scripted prompts and natural conversations | | Devices | Mobile phones, laptops and studio microphones | | Environments | Quiet rooms and noisy, everyday settings | | Transcripts | Included with every recording | | Metadata | Speaker details (such as gender and age), device and setting for each recording | | Formats | WAV, OGG and other common formats | | Consent | Every speaker consented to commercial AI training | | Licence | Agreed with each customer, in writing | | Price | Quoted per order | | Samples | Sample clips and a spec sheet on request | | Contact | contact@indecalai.com, reply within one business day | Our OTS Hindi speech dataset is roughly 1,000 hours of Hindi speech, prompts and conversations, already recorded by Hindi speakers in our 30,000+ network, with consent from every speaker for commercial AI training. License it now and train your Hindi speech recognition model without waiting on a new collection. - ~1,000 h of Hindi in stock - ~35,000 h across the OTS pool - 100% of speakers consented ## What's in the Hindi speech dataset? The IndecalAI OTS Hindi speech dataset is roughly 1,000 hours of Hindi speech, prompts and conversations, recorded by Hindi speakers in our network who all consented to commercial AI training. It's already recorded, so you can license it now instead of waiting on a new collection. Hindi is one of the most widely used languages in India and a common language between regions that otherwise speak different mother tongues. That makes it where many voice products start when they aim at Indian users, and it's why a Hindi speech recognition model usually comes first on the roadmap. Every recording comes with a transcript and metadata about the speaker, the device and the setting, and you can take it as WAV, OGG or another common format. Every order starts with sample clips and a spec sheet, so you can match the data against your model before you agree a licence. Need more than what's in stock? Hindi speakers from our 30,000+ network record new speech to your brief, and our Hindi data page covers what we collect to order. ### Hindi speech dataset at a glance - Language: Hindi (हिन्दी), locale hi-IN - Hours: Roughly 1,000 hours, already recorded - Content: Speech, prompts and conversations - Speakers: Hindi speakers from our 30,000+ network - Consent: Every speaker consented to commercial AI training - Audio and transcripts: Transcripts and metadata with every recording, in WAV, OGG and more - Licence: Terms agreed with each customer, in writing - Price: Quoted per order - Samples: Hindi sample clips sent in reply to your request - Security: ISO 27001 certified. SOC 2 report available under NDA. GDPR DPAs and HIPAA BAAs on request. ## What comes with every Hindi recording Recorded on the devices and in the places your users actually speak, and delivered in the format your pipeline expects. - Speech types: A mix of scripted prompts and natural conversations - Recording devices: Mobile phones, laptops and studio microphones - Environments: Quiet rooms and noisy, everyday settings - Transcripts: Included with every recording - Speaker metadata: Speaker details, such as gender and age, for each recording - Recording metadata: The device and the setting for each recording - Audio formats: WAV, OGG and other common formats - Sample rates: Listed for each recording on the spec sheet ## What roughly 1,000 hours of Hindi speech looks like A thousand hours is easy to say and hard to picture. Played back to back, it's about 42 days of Hindi speech without a break, far more than any team can listen to before buying. That's why every order starts with sample clips and a spec sheet. - ~1,000: hours of Hindi speech - ~60,000: minutes - ~3.6M: seconds of audio - ~42: days, played back to back Hours here are recorded audio. When you compare quotes, check whether each one counts audio hours or only the parts where someone is talking. ## Hindi at a glance, for speech teams The facts that shape a Hindi speech project, from who speaks it to how it's written. Our Hindi data page covers what we collect to order. - Speakers: ~528 million people in India gave Hindi as their mother tongue in the 2011 census, 43.63% of the population. - Where it's spoken: North and central India. Mainly Uttar Pradesh, Bihar, Madhya Pradesh and Rajasthan, plus Delhi and a large diaspora. - Script: देवनागरी Devanagari. Written left to right. Online, many people type Hindi in Roman letters instead. - Family: Indo-Aryan. Everyday spoken Hindi is very close to Urdu. The difference shows most in formal words and script. - Varieties: One label, many sounds. The census counts varieties such as Awadhi, Braj, Bundeli and Haryanvi under Hindi, so Hindi speakers sound more varied than the label suggests. - Codes: hi · hin · hi-IN. ISO 639-1, ISO 639-3 and the locale most speech APIs use for Hindi in India. Close to Hindi: Urdu, Bhojpuri, Maithili, Punjabi, Marathi and Nepali. Speaker figures are from the Census of India 2011. ## Hindi speech dataset, voice dataset or speech corpus? Buyers search for the same data under different names. Here's what each one usually means, and how our Hindi data fits. - Hindi speech dataset: The general term. Recorded Hindi speech with details about each recording, for training and testing speech models. The name this page uses. - Hindi voice dataset: Usually the same thing. Some teams mean voice for text-to-speech or speaker recognition, which needs cleaner audio. Part of our Hindi data was recorded in a studio, so ask for those recordings. - Hindi audio dataset: A wider term. It can include music or background sound. Ours is speech audio: Hindi speech, prompts and conversations. - Hindi speech corpus: The research name. A structured collection of recordings and their details. Commercial datasets are corpora too, licensed instead of published. - Hindi ASR or speech-to-text dataset: Speech plus what was said. For training a model that turns Hindi audio into text. Every recording in our Hindi dataset comes with a transcript. - Hinglish speech data: Hindi with English mixed in. The way many people actually talk. Ask how much mixed speech is in the hours you license. ## What makes Hindi hard for speech recognition Hindi looks like one language on a roadmap and sounds like many in real calls. These are the things a Hindi speech model trips on, and what to listen for in any Hindi sample, ours included. ### English words inside Hindi sentences People rarely speak pure Hindi. Banking, tech and shopping words come out in English, sometimes whole phrases. A model trained only on formal Hindi stumbles on everyday speech, so listen for how much mixing is in a sample. ### Devanagari or Roman transcripts Hindi is written in Devanagari, but many people type it in Latin letters. Decide which script your model should output, and how English words inside Hindi speech get written, then check the transcripts match. ### Accents across the Hindi belt Hindi spoken in Delhi, Uttar Pradesh, Bihar, Rajasthan or Madhya Pradesh carries different sounds and words, and many speakers grew up with another mother tongue too. Check that the speaker mix covers the regions your users come from. ### Spoken and written forms differ Hindi speakers drop short vowels that the spelling implies, and numbers, dates and amounts are often said in English. The audio and the transcript have to agree on how these are written, or the model learns the wrong pairing. ## What teams build with a Hindi speech dataset Common uses for Hindi speech that's already recorded. They show the kind of work, and they aren't client names. ### Hindi speech recognition Train or fine-tune a Hindi speech-to-text model, or adapt a multilingual model so it handles Hindi as well as it handles English. ### Voice bots and IVR Teach a voice bot how Hindi callers actually ask for things, including the English words they mix in. ### Banking and insurance calls Hindi speech for models that route, transcribe or summarize customer calls about accounts, payments and claims. ### Voice in the car A Hindi base for in-car assistants, before recording commands in a real cabin with road noise. ### Support and speech analytics Hindi conversations for models that find intent, sentiment or topics in support calls and chats. ### Testing a Hindi model Held-back Hindi recordings your model never trained on, to measure word and character error rate before launch. ## How many hours of Hindi speech do you need? It depends on the model you start from and how close your users sound to the training data. These are rough starting points that come up often in speech work. Your own tests should decide. - Test a model you already have | Rough starting point: A few hours your model never trained on | With our Hindi data: A test set cut from stock and kept out of training - Fine-tune a multilingual model, such as Whisper or wav2vec 2.0 | Rough starting point: Tens to a few hundred hours | With our Hindi data: Roughly 1,000 hours in stock covers it - Adapt to one domain, like banking calls | Rough starting point: A smaller set that sounds like your users | With our Hindi data: Stock as a base, plus a custom top-up in your domain - Train a Hindi model from scratch | Rough starting point: Thousands of hours | With our Hindi data: Stock as a base, plus a larger custom collection ## Free Hindi speech datasets or a licensed one? Public corpora such as Mozilla Common Voice, AI4Bharat's IndicVoices and Shrutilipi have done a lot for Hindi speech research. They cover what their creators chose to record, like read sentences, crowd recordings or radio news, and each comes with its own licence and terms of use. Here's how they compare with a licensed dataset. - Licence | Public Hindi corpora: Set by each corpus, and some limit redistribution or changes | Our Hindi speech dataset: Agreed with you in writing, for what you're building - Consent | Public Hindi corpora: Covered by each project's own terms | Our Hindi speech dataset: Every speaker consented to commercial AI training - What it sounds like | Public Hindi corpora: Whatever the project recorded | Our Hindi speech dataset: Speech, prompts and conversations, with sample clips first - Who else trains on it | Public Hindi corpora: Anyone who downloads it | Our Hindi speech dataset: Set in the licence we agree with you - Filling gaps | Public Hindi corpora: Up to you | Our Hindi speech dataset: Recorded to your brief by the same network - Support | Public Hindi corpora: Community forums | Our Hindi speech dataset: A named contact from sample to delivery ## How to check a Hindi speech sample Thirty minutes with the sample clips and the spec sheet tells you most of what you need. Use the same list on any vendor. - Accents | What to look for: Speakers from the regions your users come from | Where to find it: The speaker mix on the spec sheet, and the clips - Mixed speech | What to look for: English words inside Hindi sentences, as your users say them | Where to find it: Listen to the clips - Script | What to look for: Transcripts in the script your model should output | Where to find it: The transcript format on the spec sheet - Audio | What to look for: A sample rate and recording setup close to your product | Where to find it: The sample rate on the spec sheet - Numbers | What to look for: Amounts, dates and phone numbers written one consistent way | Where to find it: Transcripts of the clips - Rights | What to look for: Consent that covers commercial AI training, and a licence that fits | Where to find it: Ask for the licence terms before you buy ## From Hindi sample clips to licensed data Your named contact runs it from the first question to delivery. - Ask: Tell us how many Hindi hours you need and what the model is for. You get: A reply within one business day. - Sample and spec sheet: We send Hindi sample clips and the spec sheet in reply. You get: Hindi clips and the spec sheet. - Licence and quote: We agree the licence terms and send a quote for the order. You get: Written licence terms and a quote. - Delivery: The licensed Hindi speech is delivered to you. You get: Licensed Hindi speech with transcripts. - Fill the gaps: Accents, devices or domains that are missing get recorded to your brief. You get: New Hindi speech, recorded to your brief. Start with the sample clips, then decide. ## Hindi speech data terms The words that come up when you buy or build Hindi speech data. The full glossary covers every data type. - Devanagari: The script Hindi is written in, left to right, with a line along the top of each word. - Romanized Hindi: Hindi written in Latin letters, the way many people type it in chat. A transcript can use Devanagari, romanized Hindi or both. - Code-mixing: Switching between languages inside one sentence, such as Hindi with English words. Hindi-English mixing is often called Hinglish. - Schwa deletion: Dropping the short a sound that Hindi spelling implies, so a word is said shorter than it's written. A model has to learn the spoken form. - OTS dataset: Short for off-the-shelf dataset: data already collected and ready to license before a buyer asks for it, instead of recorded to one buyer's brief. - Word error rate (WER): The share of words a speech model gets wrong against a reference transcript. Lower is better. - Character error rate (CER): The same idea counted in characters, often used alongside WER for Hindi, where spelling variants can make WER look worse than the model is. - Utterance: One stretch of speech by one speaker, such as a single prompt read aloud or one turn in a conversation. ## More Hindi and speech data Every language in stock is on the off-the-shelf speech datasets page. ### OTS speech datasets Around 35,000 hours across languages, ready to license. ### Hindi data to your brief Hindi speech, text and translation, collected to order. ### Transcription Hindi audio turned into timed text, checked by people. ### Indian language data Beyond Hindi, across the languages of India. ### Data and model evaluation Held-back Hindi speech scored against your targets. ### More speech datasets you may need - [Urdu speech dataset](https://indecalai.com/datasets/ots/urdu-speech-dataset/) - [Bengali speech dataset](https://indecalai.com/datasets/ots/bengali-speech-dataset/) - [Punjabi speech dataset](https://indecalai.com/datasets/ots/punjabi-speech-dataset/) - [Marathi speech dataset](https://indecalai.com/datasets/ots/marathi-speech-dataset/) - [Tamil speech dataset](https://indecalai.com/datasets/ots/tamil-speech-dataset/) - [Telugu speech dataset](https://indecalai.com/datasets/ots/telugu-speech-dataset/) - [Gujarati speech dataset](https://indecalai.com/datasets/ots/gujarati-speech-dataset/) - [Kannada speech dataset](https://indecalai.com/datasets/ots/kannada-speech-dataset/) ## Questions about the Hindi speech dataset Straight answers about licensing Hindi speech. The off-the-shelf FAQ covers questions that apply to every language. **Do you have a Hindi speech dataset ready to license?** Yes. Roughly 1,000 hours of Hindi speech, prompts and conversations are already recorded and ready to license, as part of our off-the-shelf speech pool. **What's in the Hindi speech dataset?** A mix of scripted prompts and natural conversations in Hindi, recorded on mobile phones, laptops and studio microphones, in quiet and noisy settings. Every recording comes with a transcript and metadata about the speaker, the device and the setting, in WAV, OGG or another common format. **Does it include Hindi-English mixed speech?** Everyday Hindi often includes English words, so ask how much mixed speech is in the hours you'd license. The sample clips let you hear it for yourself before you commit. **Did every speaker consent to AI training?** Yes. Every speaker gave consent for their recordings to be used for commercial AI training. **How is the Hindi dataset licensed?** Licence terms are agreed with each customer, in writing, before delivery. That includes how you can use the data and whether anyone else can license the same recordings. **How much does the Hindi speech dataset cost?** We quote each order on its own, based on the hours you need and the licence terms. Send your request and your named contact comes back with a quote. **Can we hear Hindi samples first?** Yes. Ask and we send Hindi sample clips with the spec sheet, so you can check the audio before you commit. **What if we need more than 1,000 hours, or a specific accent?** We collect it. Hindi speakers from our network record new speech to your brief, such as a region, an age group, a device or a domain, and it can sit alongside the hours you license from stock. **Is this the same as a Hindi voice dataset or speech corpus?** For most uses, yes. Speech dataset, voice dataset, audio dataset and speech corpus are names for the same thing: recorded Hindi speech with details about each recording. If you need studio-quality voice for text-to-speech, ask for the recordings made in a studio. **Can we use it as a Hindi speech-to-text (ASR) dataset?** Yes. Every recording comes with a transcript, so it's ready for training and testing Hindi speech-to-text models. The spec sheet shows the transcript style, so you can check it matches your pipeline before you license it. **Why not use a free Hindi speech dataset?** Public Hindi corpora are a good start for research. Each one has its own licence and terms of use, and they cover what their creators chose to record, such as read sentences or radio news. Read the licence before you train a commercial model on one, and check that it sounds like your users. **What does OTS mean?** OTS stands for off-the-shelf: data that's already recorded and ready to license, instead of collected after you order. Our OTS Hindi speech dataset is roughly 1,000 hours. **How many hours of Hindi speech do we need?** It depends on your starting model. A test set can be a few hours, fine-tuning a multilingual model often starts at tens to a few hundred hours, and training from scratch takes thousands. Your own tests should decide. **Can we fine-tune Whisper or wav2vec 2.0 on it?** Yes. Teams commonly fine-tune open speech models like these on licensed Hindi speech, and every recording comes with a transcript in WAV, OGG or another common format. The spec sheet shows the transcript style, so you can plan any conversion before you train. **Do you work with US teams?** Yes. We take calls in US Eastern mornings, which is evening in India. We're ISO 27001 certified, our SOC 2 report is available under NDA, and we sign GDPR data processing agreements and HIPAA business associate agreements on request.