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from $1.00 / 1,000 frame extracteds

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Video Frames & Keyframes for AI Vision (Scenes, OCR)

Try for free

Turn video files into timestamped frames an AI model can see: scene-change keyframes, every N seconds, N evenly spaced or exact timestamps, plus contact sheets and optional OCR of on-screen text. Reads only the parts it needs. No API keys.

Pricing

from $1.00 / 1,000 frame extracteds

Rating

0.0

(0)

Developer

Killis Haraway

Actor stats

Bookmarked

Total users

Monthly active users

7 minutes ago

Last modified

Categories

Videos

Developer tools

You can access the Video Frames & Keyframes for AI Vision (Scenes, OCR) 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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      "inputSchema": {
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        "required": [
          "rightsConfirmed"
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        "properties": {
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            "title": "I own these videos or have the rights to process them",
            "type": "boolean",
            "description": "By running this Actor, you (the buyer) confirm that you own every video you submit or have the rights to process it. Required; on by default. If set to false, the run fails with RIGHTS_NOT_CONFIRMED before downloading anything. Streaming-platform links (YouTube, TikTok, Instagram, Facebook, X, Vimeo, Twitch, Dailymotion, Reddit) are refused.",
            "default": true
          },
          "videoUrls": {
            "title": "Video file URLs",
            "type": "array",
            "description": "Direct links to video files you have rights to (MP4, MOV, WebM, MKV, AVI, M4V ...). Links to YouTube, TikTok, Instagram, Facebook, X, Vimeo, Twitch, Dailymotion or Reddit are refused (STREAMING_PLATFORM_NOT_SUPPORTED).",
            "items": {
              "type": "string"
            }
          },
          "uploadedFile": {
            "title": "Or upload a video",
            "type": "string",
            "description": "Upload one video file from your computer."
          },
          "videos": {
            "title": "Videos (advanced, JSON)",
            "type": "array",
            "description": "For API and agent use: [{\"name\": \"demo.mp4\", \"url\": \"https://...\"}] or [{\"name\": \"clip.mp4\", \"content_base64\": \"...\"}] (base64 up to 25 MB)."
          },
          "mode": {
            "title": "Which frames",
            "enum": [
              "scenes",
              "interval",
              "count",
              "timestamps"
            ],
            "type": "string",
            "description": "scenes: a frame wherever the picture changes (cuts, new slides). interval: one every N seconds. count: N evenly spaced. timestamps: the exact times you list.",
            "default": "scenes"
          },
          "intervalSeconds": {
            "title": "Interval (seconds)",
            "minimum": 1,
            "maximum": 3600,
            "type": "integer",
            "description": "For mode 'interval'.",
            "default": 10
          },
          "frameCount": {
            "title": "Number of frames",
            "minimum": 1,
            "maximum": 500,
            "type": "integer",
            "description": "For mode 'count'.",
            "default": 12
          },
          "timestamps": {
            "title": "Timestamps",
            "type": "array",
            "description": "For mode 'timestamps': seconds (83.5) or mm:ss / hh:mm:ss.mmm, one per line.",
            "items": {
              "type": "string"
            }
          },
          "maxFrames": {
            "title": "Max frames per video",
            "minimum": 1,
            "maximum": 500,
            "type": "integer",
            "description": "Upper limit in every mode. In scenes mode the strongest changes are kept.",
            "default": 30
          },
          "sceneThreshold": {
            "title": "Scene sensitivity",
            "type": "string",
            "description": "Scenes mode: minimum picture change between keyframes, 0.01-1. Lower finds more scenes. Default 0.12.",
            "default": "0.12"
          },
          "dedupe": {
            "title": "Drop near-duplicate frames",
            "type": "boolean",
            "description": "Skip a frame that looks the same as the previous one (not in timestamps mode). Dropped frames are not charged.",
            "default": true
          },
          "imageFormat": {
            "title": "Image format",
            "enum": [
              "jpeg",
              "png",
              "webp"
            ],
            "type": "string",
            "description": "File type of the frame images.",
            "default": "jpeg"
          },
          "imageMaxWidth": {
            "title": "Max image width (px)",
            "minimum": 0,
            "maximum": 7680,
            "type": "integer",
            "description": "Wider frames are scaled down to this width. 0 keeps the original size. 1024 suits most vision models.",
            "default": 1024
          },
          "jpegQuality": {
            "title": "JPEG/WebP quality",
            "minimum": 30,
            "maximum": 100,
            "type": "integer",
            "description": "30-100.",
            "default": 85
          },
          "contactSheet": {
            "title": "Contact sheets",
            "type": "boolean",
            "description": "Also save contact sheets: up to 24 timestamped thumbnails in one image. Free.",
            "default": true
          },
          "includeBase64": {
            "title": "Include images as base64",
            "type": "boolean",
            "description": "Put each frame's image bytes in its dataset item, for agents that can't open URLs. Use a smaller max width.",
            "default": false
          },
          "ocr": {
            "title": "Read on-screen text (OCR)",
            "type": "boolean",
            "description": "Run OCR on every frame (slides, code, captions). Charged only for frames where text was found.",
            "default": false
          },
          "ocrLanguage": {
            "title": "OCR language",
            "enum": [
              "eng",
              "spa",
              "fra",
              "deu",
              "por",
              "ita",
              "eng+spa",
              "eng+fra"
            ],
            "type": "string",
            "description": "Tesseract language code(s).",
            "default": "eng"
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
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                "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"
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                }
              },
              "stats": {
                "type": "object",
                "properties": {
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                    "type": "integer",
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                    "type": "integer",
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                  },
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                  "timeoutSecs": {
                    "type": "integer",
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                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
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                  "diskMbytes": {
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              "buildId": {
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              "defaultKeyValueStoreId": {
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              "defaultDatasetId": {
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              "defaultRequestQueueId": {
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              "containerUrl": {
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              "usage": {
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                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
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                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
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                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
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                  },
                  "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
                  },
                  "PROXY_UNBLOCKER_UNITS": {
                    "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
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                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
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                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
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                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
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                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
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                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
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                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
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                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
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                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
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                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
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                    "type": "integer",
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}

Video Frames & Keyframes for AI Vision (Scenes, OCR) OpenAPI definition

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 Frames & Keyframes for AI Vision (Scenes, OCR) from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Video Frames & Keyframes for AI Vision (Scenes, OCR) API in Python

Video Frames & Keyframes for AI Vision (Scenes, OCR) API in JavaScript

Video Frames & Keyframes for AI Vision (Scenes, OCR) API through CLI

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