Video To Text
Pricing
from $0.30 / transcript
Video To Text turns one public video URL or media upload up to 8 GB into readable text for notes, captions, interviews, and content reuse. Results include language detection, ordered timestamps, source details, and optional translation into 133 languages. A completed transcript starts at $0.468.
You can access the Video To Text programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Leave this empty when you only want to upload a file" }, "video_file": { "title": "Video File", "type": "string", "description": "Upload a video/audio file or provide a direct file URL. If both Video File and Video URL are provided, this file is used" }, "translate": { "title": "Translate", "enum": [ "afrikaans", "albanian", "amharic", "arabic", "armenian", "assamese", "aymara", "azerbaijani", "bambara", "basque", "belarusian", "bengali", "bhojpuri", "bosnian", "bulgarian", "catalan", "cebuano", "chichewa", "chinese (simplified)", "chinese (traditional)", "corsican", "croatian", "czech", "danish", "dhivehi", "dogri", "dutch", "english", "esperanto", "estonian", "ewe", "filipino", "finnish", "french", "frisian", "galician", "georgian", "german", "greek", "guarani", "gujarati", "haitian creole", "hausa", "hawaiian", "hebrew", "hindi", "hmong", "hungarian", "icelandic", "igbo", "ilocano", "indonesian", "irish", "italian", "japanese", "javanese", "kannada", "kazakh", "khmer", "kinyarwanda", "konkani", "korean", "krio", "kurdish (kurmanji)", "kurdish (sorani)", "kyrgyz", "lao", "latin", "latvian", "lingala", "lithuanian", "luganda", "luxembourgish", "macedonian", "maithili", "malagasy", "malay", "malayalam", "maltese", "maori", "marathi", "meiteilon (manipuri)", "mizo", "mongolian", "myanmar", "nepali", "norwegian", "odia (oriya)", "oromo", "pashto", "persian", "polish", "portuguese", "punjabi", "quechua", "romanian", "russian", "samoan", "sanskrit", "scots gaelic", "sepedi", "serbian", "sesotho", "shona", "sindhi", "sinhala", "slovak", "slovenian", "somali", "spanish", "sundanese", "swahili", "swedish", "tajik", "tamil", "tatar", "telugu", "thai", "tigrinya", "tsonga", "turkish", "turkmen", "twi", "ukrainian", "urdu", "uyghur", "uzbek", "vietnamese", "welsh", "xhosa", "yiddish", "yoruba", "zulu" ], "type": "string", "description": "Optional target language for translating the transcript. Leave empty to return only the original transcript" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Video To Text from the options below:
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