Image to Text — OCR for Screenshots, Scans and Photos
Pricing
from $2.10 / 1,000 image or page read with ocrs
[$0.004/image] Convert images to text with OCR: PNG, JPG, WEBP, TIFF, HEIC, screenshots, scans and scanned PDFs in 19 languages. Full text, confidence score and optional word boxes. No API key, no fee per run.
You can access the Image to Text — OCR for Screenshots, Scans and Photos 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.
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Scanned PDFs work too — every page is read with OCR. The link must open the file itself, not a gallery or viewer page.", "default": [ "https://raw.githubusercontent.com/lergassy/apify-actor-assets/main/document-text-extractor/sample-scan.png" ], "items": { "type": "string" } }, "file": { "title": "📎 Upload a file", "type": "string", "description": "Upload one image or PDF from your computer instead of giving a URL." }, "base64Files": { "title": "🧬 Base64 files (for API calls)", "type": "array", "description": "Base64-encoded images or PDFs for API and agent calls. Each entry is a plain base64 string (a data-URI prefix is allowed) or an object <code>{\"fileName\": \"scan.png\", \"data\": \"…\"}</code>." }, "language": { "title": "🔤 OCR language", "enum": [ "eng", "deu", "fra", "spa", "por", "ita", "nld", "pol", "rus", "ukr", "tur", "ind", "vie", "ara", "hin", "chi_sim", "chi_tra", "jpn", "kor" ], "type": "string", "description": "Language of the text in the scan. Picking the right one is the single biggest factor in accuracy.", "default": "eng" }, "autoDetectLanguage": { "title": "Detect the script automatically", "type": "boolean", "description": "Look at the page first and switch language when the script is clearly Cyrillic, Arabic, Chinese, Japanese, Korean or Devanagari. Adds a moment per file.", "default": false }, "includePages": { "title": "Per-page output", "type": "boolean", "description": "Return each page separately with its own text and confidence score, alongside the full text.", "default": true }, "includeWordBoxes": { "title": "Word positions and confidence", "type": "boolean", "description": "Return every recognised word with its confidence and its box on the page. Use it to highlight text or to build a document parser.", "default": false }, "minWordConfidence": { "title": "Minimum word confidence", "minimum": 0, "maximum": 100, "type": "integer", "description": "Drop words the engine is less sure about than this, from 0 to 100. Raise it to cut noise out of poor scans.", "default": 0 }, "useExistingTextLayer": { "title": "Reuse a PDF's own text layer", "type": "boolean", "description": "When a PDF page already contains text, copy it instead of running OCR. Faster, cheaper and more accurate. Switch off to force OCR everywhere.", "default": true }, "pageRange": { "title": "📑 Page range", "type": "string", "description": "Read only these PDF pages, for example <code>1-5</code>, <code>8</code> or <code>12-</code> (page 12 to the end)." }, "maxPagesPerFile": { "title": "Max pages per file", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Safety cap so a long scan cannot run up an unexpected bill.", "default": 50 }, "maxConcurrency": { "title": "⚡ Max concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many files to read at the same time.", "default": 3 }, "maxFileSizeMb": { "title": "📦 Max file size (MB)", "minimum": 1, "maximum": 200, "type": "integer", "description": "Files larger than this are skipped with an error row instead of being downloaded.", "default": 50 }, "timeoutPerFileSecs": { "title": "⏱️ Download timeout (seconds)", "minimum": 10, "maximum": 900, "type": "integer", "description": "How long to wait for one file to download before giving up on it.", "default": 120 } } }, "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 }, "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 }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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. 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You can download the OpenAPI definitions for Image to Text — OCR for Screenshots, Scans and Photos from the options below:
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