# OTS Arabic Speech Dataset

> Roughly 500 hours of Arabic 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/arabic-speech-dataset/
Last updated: 2026-10-27
Publisher: IndecalAI (https://indecalai.com/)

## Key facts

| | |
|---|---|
| Language | Arabic (ar) |
| Hours | Roughly 500, 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 Arabic speech dataset is roughly 500 hours of Arabic speech, prompts and conversations, already recorded by Arabic speakers in our 30,000+ network, with consent from every speaker for commercial AI training. License it now and train your Arabic speech recognition model without waiting on a new collection.

- ~500 h of Arabic in stock
- ~35,000 h across the OTS pool
- 100% of speakers consented

## What's in the Arabic speech dataset?

The IndecalAI OTS Arabic speech dataset is roughly 500 hours of Arabic speech, prompts and conversations, recorded by Arabic 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.

Arabic opens voice products to the Middle East and North Africa, where demand for Arabic voice bots, call analytics and assistants keeps growing. The gap between Modern Standard Arabic and spoken dialects is why it needs real dialect speech, not only read text.

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? Arabic speakers from our 30,000+ network record new speech to your brief, and our [Arabic data page](https://indecalai.com/datasets/languages/arabic.html) covers what we collect to order.

### Arabic speech dataset at a glance

- **Hours**: Roughly 500 hours, already recorded
- **Language**: Arabic (العربية), ar
- **Content**: Speech, prompts and conversations
- **Consent**: Every speaker consented to commercial AI training
- **Speakers**: Arabic speakers from our 30,000+ network
- **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**: Arabic 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 Arabic recording

Recorded on the devices and in the places your users actually speak, and delivered in the format your pipeline expects.

| Detail | In the Arabic dataset |
|---|---|
| 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 500 hours of Arabic speech looks like

Five hundred hours is easy to say and hard to picture. Played back to back, it's about 21 days of Arabic 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.

Hours here are recorded audio. When you compare quotes, check whether each one counts audio hours or only the parts where someone is talking.

- ~500 hours of Arabic speech
- ~30,000 minutes
- ~1.8M seconds of audio
- ~21 days, played back to back

## Arabic at a glance, for speech teams

The facts that shape an Arabic speech project, from who speaks it to how it's written. Our [Arabic data page](https://indecalai.com/datasets/languages/arabic.html) covers what we collect to order.

- **Status**: 20+ countries. Arabic is an official language in more than twenty countries across the Middle East and North Africa.
- **Where it's spoken**: Middle East and North Africa. From Morocco to the Gulf, plus large communities in Europe and the Americas.
- **Script**: العربية Arabic script. Written right to left, usually without short vowels, so one written word can be read several ways.
- **Family**: Semitic. A Semitic language, related to Hebrew and Amharic.
- **Varieties**: Standard and dialects. Modern Standard Arabic is used for news and writing, while people speak Egyptian, Gulf, Levantine, Maghrebi and other dialects day to day.
- **Codes**: ar · ara. ISO 639-1 and ISO 639-3 codes. Locales speech APIs often use: ar-SA, ar-EG, ar-AE.

Related languages: [Hebrew](https://indecalai.com/datasets/ots/hebrew-speech-dataset/), [Persian](https://indecalai.com/datasets/ots/persian-speech-dataset/), [Urdu](https://indecalai.com/datasets/ots/urdu-speech-dataset/) and [Amharic](https://indecalai.com/datasets/ots/amharic-speech-dataset/).

## Arabic 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 Arabic data fits.

- **Arabic speech dataset**: The general term. Recorded Arabic speech with details about each recording, for training and testing speech models. The name this page uses.
- **Arabic voice dataset**: Usually the same thing. Some teams mean voice for text-to-speech or speaker recognition, which needs cleaner audio. Part of our data was recorded in a studio, so ask for those recordings.
- **Arabic audio dataset**: A wider term. It can include music or background sound. Ours is speech audio: Arabic speech, prompts and conversations.
- **Arabic speech corpus**: The research name. A structured collection of recordings and their details. Commercial datasets are corpora too, licensed instead of published.
- **Arabic ASR or speech-to-text dataset**: Speech plus what was said. For training a model that turns Arabic audio into text. Every recording in our Arabic dataset comes with a transcript.
- **Arabic dialect speech data**: Dialect matters most. Most voice products need the dialect their users speak, not only the standard. Ask which dialects are in the hours you license.

## What makes Arabic hard for speech recognition

These are the things an Arabic speech model trips on, and what to listen for in any Arabic sample, ours included.

### English and French words inside Arabic

Gulf and Levantine speakers mix in English, and North African speakers mix in French, especially for tech and banking words. Listen for how much mixing is in a sample.

### Short vowels left out

Arabic is usually written without short vowel marks, and dialects are often typed in Latin letters and numbers, called Arabizi. Decide what your model should output, then check the transcripts.

### Dialects across the Arab world

Egyptian, Gulf, Levantine and Maghrebi Arabic differ in sounds, words and grammar, sometimes as much as separate languages. Check that the dialect mix matches your users.

### Standard or spoken Arabic

People switch between Modern Standard Arabic and their dialect, even inside one call. Decide whether transcripts should follow the dialect as spoken or normalize to the standard form.

## What teams build with an Arabic speech dataset

Common uses for Arabic speech that's already recorded. They show the kind of work, and they aren't client names.

### Arabic speech recognition

Train or fine-tune an Arabic speech-to-text model, or adapt a multilingual model so it handles Arabic well. See: [Transcription](https://indecalai.com/services/transcription.html)

### Voice bots and IVR

Teach a voice bot how Arabic callers actually ask for things, in the words and accents they use. See: [Conversational AI data](https://indecalai.com/services/conversational-ai-data.html)

### Customer service calls

Arabic speech for models that route, transcribe or summarize customer calls about accounts, orders and claims. See: [Arabic Customer Support Call Speech Data](https://indecalai.com/datasets/speech/customer-support-call-arabic.html)

### Voice in the car and at home

An Arabic base for in-car assistants and smart devices, before recording commands in the real setting. See: [Data collection](https://indecalai.com/services/data-collection.html)

### Support and speech analytics

Arabic conversations for models that find intent, sentiment or topics in support calls and chats. See: [Arabic Social Media Sentiment Data](https://indecalai.com/datasets/text/social-media-sentiment-arabic.html)

### Testing an Arabic model

Held-back Arabic recordings your model never trained on, to measure word and character error rate before launch. See: [Data and model evaluation](https://indecalai.com/services/model-evaluation.html)

## How many hours of Arabic 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.

| Goal | Rough starting point | With our Arabic data |
|---|---|---|
| Test a model you already have | A few hours your model never trained on | A test set cut from stock and kept out of training |
| Fine-tune a multilingual model, such as Whisper or wav2vec 2.0 | Tens to a few hundred hours | Roughly 500 hours in stock covers it |
| Adapt to one domain, like banking calls | A smaller set that sounds like your users | Stock as a base, plus a custom top-up in your domain |
| Train an Arabic model from scratch | Thousands of hours | Stock as a base, plus a larger custom collection |

## Free Arabic speech datasets or a licensed one?

Public corpora such as Mozilla Common Voice, MGB-2 (Arabic broadcast news) and FLEURS have done a lot for Arabic speech research. They cover what their creators chose to record, like read sentences, crowd recordings or broadcast speech, and each comes with its own licence and terms of use. Here's how they compare with a licensed dataset.

| Topic | Public Arabic corpora | Our Arabic speech dataset |
|---|---|---|
| Licence | Set by each corpus, and some limit redistribution or changes | Agreed with you in writing, for what you're building |
| Consent | Covered by each project's own terms | Every speaker consented to commercial AI training |
| What it sounds like | Whatever the project recorded | Speech, prompts and conversations, with sample clips first |
| Who else trains on it | Anyone who downloads it | Set in the licence we agree with you |
| Filling gaps | Up to you | Recorded to your brief by the same network |
| Support | Community forums | A named contact from sample to delivery |

## How to check an Arabic speech sample

Six things to check before you license, and where to look for each. Use it on every vendor you compare.

| Check | What to look for | Where to find it |
|---|---|---|
| Accents | Speakers from the regions your users come from | The speaker mix on the spec sheet, and the clips |
| Everyday speech | The way your users really talk, including any mixing with other languages | Listen to the clips |
| Script | Transcripts in the script and spelling your model should output | The transcript format on the spec sheet |
| Audio | A sample rate and recording setup close to your product | The sample rate on the spec sheet |
| Numbers | Amounts, dates and phone numbers written one consistent way | Transcripts of the clips |
| Rights | Consent that covers commercial AI training, and a licence that fits | Ask for the licence terms before you buy |

## From Arabic sample clips to licensed data

Your named contact runs it from the first question to delivery.

1. **Ask**: Tell us how many Arabic hours you need and what the model is for. You get: A reply within one business day
2. **Sample and spec sheet**: We send Arabic sample clips and the spec sheet in reply. You get: Arabic clips and the spec sheet
3. **Licence and quote**: We agree the licence terms and send a quote for the order. You get: Written licence terms and a quote
4. **Delivery**: The licensed Arabic speech is delivered to you. You get: Licensed Arabic speech with transcripts
5. **[Fill the gaps](https://indecalai.com/services/data-collection.html)**: Accents, devices or domains that are missing get recorded to your brief. You get: New Arabic speech, recorded to your brief

## Arabic speech data terms

The words that come up when you buy or build Arabic speech data. The full [glossary](https://indecalai.com/glossary.html) covers every data type.

- **Modern Standard Arabic (MSA)**: The shared formal Arabic used in news, writing and speeches across the Arab world. Few people speak it at home.
- **Diglossia**: Two forms of one language used for different purposes, like Modern Standard Arabic for writing and a dialect for speech.
- **Arabizi**: Arabic typed in Latin letters and numbers, such as 3 for the letter ʿayn, common in chat.
- **Speaker metadata**: Details recorded about each speaker, such as gender and age, that let you check the speaker mix against your users.
- **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, since small spelling differences 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 Arabic and speech data

Every language in stock is on the [off-the-shelf speech datasets](https://indecalai.com/datasets/ots/) page. Related speech datasets: [Hebrew](https://indecalai.com/datasets/ots/hebrew-speech-dataset/), [Persian](https://indecalai.com/datasets/ots/persian-speech-dataset/), [Urdu](https://indecalai.com/datasets/ots/urdu-speech-dataset/) and [Amharic](https://indecalai.com/datasets/ots/amharic-speech-dataset/).

- [OTS speech datasets](https://indecalai.com/datasets/ots/): Around 35,000 hours across languages, ready to license.
- [Arabic data to your brief](https://indecalai.com/datasets/languages/arabic.html): Arabic speech, text and translation, collected to order.
- [Transcription](https://indecalai.com/services/transcription.html): Arabic audio turned into timed text, checked by people.
- [Languages](https://indecalai.com/datasets/languages.html): 100 languages, collected to order.
- [Data and model evaluation](https://indecalai.com/services/model-evaluation.html): Held-back Arabic speech scored against your targets.

### More speech datasets you may need

- [Hebrew speech dataset](https://indecalai.com/datasets/ots/hebrew-speech-dataset/)
- [Persian speech dataset](https://indecalai.com/datasets/ots/persian-speech-dataset/)
- [Urdu speech dataset](https://indecalai.com/datasets/ots/urdu-speech-dataset/)
- [Amharic speech dataset](https://indecalai.com/datasets/ots/amharic-speech-dataset/)
- [Turkish speech dataset](https://indecalai.com/datasets/ots/turkish-speech-dataset/)
- [Pashto speech dataset](https://indecalai.com/datasets/ots/pashto-speech-dataset/)
- [Georgian speech dataset](https://indecalai.com/datasets/ots/georgian-speech-dataset/)
- [Armenian speech dataset](https://indecalai.com/datasets/ots/armenian-speech-dataset/)

## Questions about the Arabic speech dataset

Straight answers about licensing Arabic speech. The [off-the-shelf FAQ](https://indecalai.com/datasets/ots/#faq) covers questions that apply to every language.

### Do you have an Arabic speech dataset ready to license?

Yes. Roughly 500 hours of Arabic speech, prompts and conversations are already recorded and ready to license, as part of our off-the-shelf speech pool.

### What's in the Arabic speech dataset?

A mix of scripted prompts and natural conversations in Arabic, 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.

### Which Arabic dialects are in it?

Arabic is spoken very differently from region to region, so ask which dialects are in the hours you'd license, and whether the speech is dialect, Modern Standard Arabic or both. The sample clips let you hear it 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 Arabic 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 Arabic 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 Arabic samples first?

Yes. Ask and we send Arabic sample clips with the spec sheet, so you can check the audio before you commit.

### What if we need more than 500 hours, or a specific accent?

We collect it. Arabic 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 an Arabic 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 Arabic 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 an Arabic speech-to-text (ASR) dataset?

Yes. Every recording comes with a transcript, so it's ready for training and testing Arabic 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 Arabic speech dataset?

Public Arabic 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 broadcast speech. 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 Arabic speech dataset is roughly 500 hours.

### How many hours of Arabic 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 Arabic 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.