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    media

    Image
    Text
    Converter

    Extract all readable text from images using advanced OCR combined with a vision-language model. Handles printed text, handwriting, complex layouts, receipts, signs, and multi-language documents.

    Max file size: 50 MB
    Estimated: 1-5 sec per image
    6 input formats

    How It Works

    1

    Upload an image or provide a URL.

    2

    The image is preprocessed (deskew, contrast normalization).

    3

    OCR detects text regions and extracts character-level output.

    4

    A vision-language model refines extraction and resolves ambiguities.

    5

    Structured text with bounding boxes and confidence scores is returned.

    Code Examples

    import os, requests
    
    API = "https://api.mixpeek.com"
    H = {"Authorization": f"Bearer {os.environ['MIXPEEK_API_KEY']}",
         "X-Namespace": os.environ["NAMESPACE_ID"]}
    
    # 1. a bucket, with a schema that declares the field you will send
    bucket = requests.post(f"{API}/v1/buckets", headers=H, json={
        "bucket_name": "image-inputs",
        "bucket_schema": {"properties": {"image": {"type": "image"}}},
    }).json()
    
    # 2. land the file as an object. the URL goes in data, on the blob
    requests.post(f"{API}/v1/buckets/{bucket['bucket_id']}/objects", headers=H, json={
        "key_prefix": "run-1",
        "blobs": [{"property": "image", "type": "image",
                   "data": "https://example.com/photo.jpg"}],
    })
    
    # 3. a collection over that bucket, running the extractor
    collection = requests.post(f"{API}/v1/collections", headers=H, json={
        "collection_name": "image-to-text",
        "source": {"type": "bucket", "bucket_ids": [bucket["bucket_id"]]},
        "feature_extractor": {"feature_extractor_name": "image_extractor", "version": "v1"},
    }).json()
    
    # 4. run extraction over the bucket
    requests.post(f"{API}/v1/buckets/{bucket['bucket_id']}/batches", headers=H, json={
        "collection_ids": [collection["collection_id"]],
        "auto_submit": True,
    })
    
    # 5. read the output
    docs = requests.get(
        f"{API}/v1/collections/{collection['collection_id']}/documents", headers=H
    ).json()
    print(docs)

    Use Cases

    Digitize scanned documents and forms
    Extract text from product labels and packaging photos
    Read text overlays in screenshots and social media images
    Process handwritten notes and whiteboard photos

    Supported Input Formats

    JPEG
    PNG
    WebP
    TIFF
    BMP
    GIF

    Quick Info

    Categorymedia
    Max File Size50 MB
    Est. Time1-5 sec per image

    Processing millions of files?

    Run this as a managed pipeline over your whole library, no infrastructure to build or maintain. Talk to us about processing at scale.

    Run it over a library

    Mixpeek runs this conversion as a pipeline over a whole library in your object storage, with the output landing as queryable documents. It is not a single-file converter.

    Frequently Asked Questions

    Ready to convert image to text?

    Start using the Mixpeek Image to Text in minutes. Sign up for a free API key and follow the documentation to get started.