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from $0.60 / 1,000 text pages

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PDF, Audio & Video to Markdown: OCR + Transcripts

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PDFs, scans, audio and video to clean, LLM-ready Markdown: tables preserved, auto OCR, timestamped transcripts with SRT/VTT subtitles (Whisper), video keyframes, RAG chunks. Pay per page or minute.

Pricing

from $0.60 / 1,000 text pages

Rating

0.0

(0)

Developer

Marcel Tomas

Actor stats

Bookmarked

Total users

Monthly active users

2 hours ago

Last modified

Categories

Developer tools

Automation

You can access the PDF, Audio & Video to Markdown: OCR + Transcripts 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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  "components": {
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      "inputSchema": {
        "type": "object",
        "properties": {
          "sources": {
            "title": "Files or YouTube links (URLs)",
            "type": "array",
            "description": "Direct links to PDF, image (PNG, JPEG, TIFF, WebP, GIF, BMP), audio (MP3, WAV, M4A, OGG, FLAC) or video (MP4, MOV, WebM, MKV) files, and YouTube video links (watch, Shorts, live, youtu.be). YouTube audio is downloaded by Apify's YouTube Video Downloader in your account, which bills its own small download fee. Other video platforms are not supported.",
            "items": {
              "type": "string"
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          "ocr": {
            "title": "OCR",
            "enum": [
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            "type": "string",
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            "default": "auto"
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          "languages": {
            "title": "OCR languages",
            "type": "array",
            "description": "Up to 4 languages present in the documents.",
            "items": {
              "type": "string",
              "enum": [
                "eng",
                "spa",
                "cat",
                "fra",
                "deu",
                "ita",
                "por",
                "nld",
                "pol"
              ],
              "enumTitles": [
                "English",
                "Spanish",
                "Catalan",
                "French",
                "German",
                "Italian",
                "Portuguese",
                "Dutch",
                "Polish"
              ]
            },
            "default": [
              "eng"
            ]
          },
          "pages": {
            "title": "Page range (optional)",
            "type": "string",
            "description": "For example 1-5,8,10- . Empty = all pages."
          },
          "maxPagesPerDocument": {
            "title": "Max pages per document",
            "minimum": 1,
            "maximum": 2000,
            "type": "integer",
            "description": "Pages beyond this limit are skipped (the record is marked partial).",
            "default": 300
          },
          "includeChunks": {
            "title": "RAG chunks",
            "type": "boolean",
            "description": "Also return the Markdown split into chunks on paragraph/table boundaries, with page numbers.",
            "default": false
          },
          "chunkSize": {
            "title": "Chunk size (characters)",
            "minimum": 200,
            "maximum": 20000,
            "type": "integer",
            "description": "Maximum characters per chunk.",
            "default": 1500
          },
          "chunkOverlap": {
            "title": "Chunk overlap (characters)",
            "minimum": 0,
            "maximum": 5000,
            "type": "integer",
            "description": "Characters repeated from the end of one chunk at the start of the next.",
            "default": 150
          },
          "includePages": {
            "title": "Per-page text",
            "type": "boolean",
            "description": "Also return the raw text of each page with the method used (text layer or OCR) and OCR confidence.",
            "default": false
          },
          "pageMarkers": {
            "title": "Page markers in Markdown",
            "type": "boolean",
            "description": "Insert invisible <!-- page N --> markers, useful for citations.",
            "default": true
          },
          "ocrDpi": {
            "title": "OCR resolution (DPI)",
            "minimum": 150,
            "maximum": 400,
            "type": "integer",
            "description": "Rendering resolution for OCR. 300 is a good balance of accuracy and speed.",
            "default": 300
          },
          "maxFileMb": {
            "title": "Max file size (MB)",
            "minimum": 1,
            "maximum": 1000,
            "type": "integer",
            "description": "Files larger than this are skipped (free).",
            "default": 200
          },
          "transcribe": {
            "title": "Transcribe audio & video",
            "type": "boolean",
            "description": "Transcribe audio and video files (MP3, WAV, M4A, OGG, FLAC, MP4, MOV, WebM…) with Whisper large-v3 turbo.",
            "default": true
          },
          "transcriptionLanguage": {
            "title": "Spoken language (optional)",
            "enum": [
              "en",
              "es",
              "ca",
              "fr",
              "de",
              "it",
              "pt",
              "nl",
              "pl",
              "ru",
              "uk",
              "ar",
              "zh",
              "ja",
              "ko",
              "hi",
              "tr",
              "sv",
              "da",
              "no",
              "fi",
              "cs",
              "ro",
              "hu",
              "el",
              "he",
              "id",
              "vi",
              "th"
            ],
            "type": "string",
            "description": "Leave empty to detect it automatically. Setting it improves accuracy for short clips."
          },
          "includeSegments": {
            "title": "Timestamped segments",
            "type": "boolean",
            "description": "Return the transcript as segments with start and end times.",
            "default": true
          },
          "includeSubtitles": {
            "title": "Subtitles (SRT + VTT)",
            "type": "boolean",
            "description": "Also return ready-to-use SRT and WebVTT subtitles.",
            "default": false
          },
          "keyframes": {
            "title": "Video keyframes",
            "enum": [
              "off",
              "scene",
              "interval"
            ],
            "type": "string",
            "description": "Extract still frames for vision models. Frames are saved as JPEG in the run's key-value store with public links.",
            "default": "off"
          },
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            "title": "Keyframe interval (seconds)",
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            "maximum": 3600,
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            "description": "Used when keyframes = every N seconds.",
            "default": 10
          },
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            "title": "Max keyframes per video",
            "minimum": 1,
            "maximum": 500,
            "type": "integer",
            "description": "Hard cap per video.",
            "default": 30
          },
          "maxMediaMinutes": {
            "title": "Max minutes transcribed per file",
            "minimum": 1,
            "maximum": 600,
            "type": "integer",
            "description": "Longer recordings are transcribed up to this length (record marked partial).",
            "default": 120
          },
          "groqApiKey": {
            "title": "Your Groq API key (optional, cheaper)",
            "type": "string",
            "description": "Bring your own key from console.groq.com to pay the lower per-minute price and use your own quota. Stored encrypted; never logged."
          },
          "healthCheck": {
            "title": "Health check mode",
            "type": "boolean",
            "description": "Internal. Never charged.",
            "default": false
          },
          "healthProfile": {
            "title": "Health check profile",
            "type": "string",
            "description": "Internal. Used only together with health check mode."
          }
        }
      },
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        "type": "object",
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            "type": "object",
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                    "example": 1024
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              "buildId": {
                "type": "string"
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              "defaultKeyValueStoreId": {
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                "example": "1.0.0"
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}

PDF, Audio & Video to Markdown — OCR + Whisper Transcripts 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 PDF, Audio & Video to Markdown: OCR + Transcripts 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:

PDF, Audio & Video to Markdown: OCR + Transcripts API in Python

PDF, Audio & Video to Markdown: OCR + Transcripts API in JavaScript

PDF, Audio & Video to Markdown: OCR + Transcripts API through CLI

PDF, Audio & Video to Markdown: OCR + Transcripts API

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