800,000 SFX Professional Sound Effects | Human Metadata | Ideal for Large Language Model (LLM) Data | Soundsnap product image in hero

800,000 SFX Professional Sound Effects | Human Metadata | Ideal for Large Language Model (LLM) Data | Soundsnap

Soundsnap
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Sign In To Preview Data
Volume
800K
audio files
Data Quality
85%
48 kHz 24 bit or better
Avail. Formats
.json, .csv, and .xls
File
Coverage
247
Countries
History
10
years

Data Dictionary

[Sample] Soundsnap audio dataset sample.csv
Attribute Type Example Mapping
Filename
Text Gun,Assault Rifle,AK-47,7 62x39mm,Shot,Burst,Long,1,Mix.wav
Category
Text Comic & Film Fx
Subcategory
Text Weapons
ShortDescription
Text AK-47 assault rifle firing in a long burst 1.
Tags
Text Weapon, Gun, Firearm, Rifle, Assault Rifle, Semi Automati...
Product Attributes
Attribute Type Example Mapping
Short description
Text Sink faucet tap water in an apartment guest bathroom, sto...
Category
House
Subcategory
Bathroom
Keywords/ tags
Bathroom, Washroom, Restroom, Water, Faucet, Tap, Sink

Description

The worldwide leading sound effects dataset, featuring 800,000 professional audio files across all categories, each accompanied by human-crafted metadata. Additionally, it includes music tracks with stems, all pre-cleared for use in machine learning, deep learning and generative AI applications
Our audio dataset stands out from the rest and is ideal for Large Language Model (LLM) Data use cases. We boast the most widely used sound library globally, featuring nearly 800,000 sounds employed by top names like Disney, BBC, Pixar, Apple, Ogilvy, Saatchi & Saatchi, HBO, and Activision. Our sounds are recorded by professionals responsible for the audio in films like Mad Max: Fury Road, The Revenant, The Triangle of Sadness, and Dunkirk. Each audio file includes meticulously crafted metadata: a brief description, categorized listings, and keyword/tags. The dataset spans all categories, including Ambiances, Animals, Foley, Transport, Weapons, Industrial, Sports, and more. Additionally, we provide access to 30,000 music tracks with stems, all pre-cleared for machine learning and AI use.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (49)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

10 years of historical data

Volume

800,000 audio files

Pricing

Free sample available
License Starts at
One-off purchase
$500,000 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
85%
48 kHz 24 bit or better

Delivery

Methods
S3 Bucket
REST API
Frequency
real-time
on-demand
Format
.json
.csv
.xls

Use Cases

Categories

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Frequently asked questions

What is 800,000 SFX Professional Sound Effects Human Metadata Ideal for Large Language Model (LLM) Data Soundsnap?

The worldwide leading sound effects dataset, featuring 800,000 professional audio files across all categories, each accompanied by human-crafted metadata. Additionally, it includes music tracks with stems, all pre-cleared for use in machine learning, deep learning and generative AI applications

What is 800,000 SFX Professional Sound Effects Human Metadata Ideal for Large Language Model (LLM) Data Soundsnap used for?

This product has 3 key use cases. Soundsnap recommends using the data for Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. Global businesses and organizations buy Machine Learning (ML) Data from Soundsnap to fuel their analytics and enrichment.

Who can use 800,000 SFX Professional Sound Effects Human Metadata Ideal for Large Language Model (LLM) Data Soundsnap?

This product is best suited if you’re a Enterprise looking for Machine Learning (ML) Data. Get in touch with Soundsnap to see what their data can do for your business and find out which integrations they provide.

How far back does the data in 800,000 SFX Professional Sound Effects Human Metadata Ideal for Large Language Model (LLM) Data Soundsnap go?

This product has 10 years of historical coverage. It can be delivered on a real-time and on-demand basis.

Which countries does 800,000 SFX Professional Sound Effects Human Metadata Ideal for Large Language Model (LLM) Data Soundsnap cover?

This product includes data covering 247 countries like USA, China, Japan, Germany, and India. Soundsnap is headquartered in Cyprus.

How much does 800,000 SFX Professional Sound Effects Human Metadata Ideal for Large Language Model (LLM) Data Soundsnap cost?

Pricing for 800,000 SFX Professional Sound Effects Human Metadata Ideal for Large Language Model (LLM) Data Soundsnap starts at USD500,000 per purchase. Connect with Soundsnap to get a quote and arrange custom pricing models based on your data requirements.

How can I get 800,000 SFX Professional Sound Effects Human Metadata Ideal for Large Language Model (LLM) Data Soundsnap?

Businesses can buy Machine Learning (ML) Data from Soundsnap and get the data via S3 Bucket and REST API. Depending on your data requirements and subscription budget, Soundsnap can deliver this product in .json, .csv, and .xls format.

What is the data quality of 800,000 SFX Professional Sound Effects Human Metadata Ideal for Large Language Model (LLM) Data Soundsnap?

Soundsnap has reported that this product has the following quality and accuracy assurances: 85% 48 kHz 24 bit or better. You can compare and assess the data quality of Soundsnap using Datarade’s data marketplace.

What are similar products to 800,000 SFX Professional Sound Effects Human Metadata Ideal for Large Language Model (LLM) Data Soundsnap?

This product has 3 related products. These alternatives include Machine Learning Data Deep Learning Data  Music Data  800,000 SFX Professional Sound Effects Human Metadata, Nexdata Foundation Model Data Collection and Data Annotation Large Language Model(LLM) Data SFT Data Red Teaming Services, and FileMarket 20,000 photos AI Training Data Large Language Model (LLM) Data Machine Learning (ML) Data Deep Learning (DL) Data . You can compare the best Machine Learning (ML) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$500,000 / purchase
License Starts at
One-off purchase
$500,000 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available