Understanding Bynder's Text-In-Image Search

Summary

You can enter keywords in the search bar, and our text-in-image search, using Optical character recognition (OCR) technology, will return images containing that text. This helps you quickly find images based on the text within them regardless of the applied metadata, streamlining your upload and enrichment processes and increasing the search-ability of your assets. When you upload an image to your DAM, Text-In-Image scans and extracts any text, creating fully indexed text-in-image tags. The technology can detect up to 100 words per image, saving time and maximizing efficiency when searching for a specific asset.

This feature/solution requires your Customer Success Contact to enable, but then individual permissions can be done by the Bynder Admin.

Note: Any permission restrictions set on an image asset will be honored and will effect if an image asset is retrievable using this feature.

Confidence Score

A confidence level is provided for each tag, offering insights into the accuracy and reliability of the extracted text. Users can hover over a tag to view its confidence score.

• Tags with a high confidence scores (90% and above) are not highlighted, but remain grey.
• Tags with a medium confidence scores (60% - 90% range) appear in orange.
• Tags with a low confidence scores (below 60%) appear in red.

Confidence Score Factors

• Image Resolution: Higher image resolutions facilitate text recognition and lead to higher confidence scores.
• Image Composition: The complexity of the background of the text can impact text recognition (i.e., neon signs, cut-off text, text on images featuring merchandise with wrinkles) and can lead to lower confidence scores.
• Font and Text Style: Uncommon or stylized fonts may challenge text recognition. Factors like handwriting, cursive writing, or overlapping characters can lower confidence scores.
• Language: Characters/alphabets the AI model is trained on will significantly impact confidence scores. All Bynder-supported languages that use Latin and Cyrillic alphabets, as well as Arabic, are supported. Syllabary and logographic scripts, such as Chinese, Korean, and Japanese, are not currently supported.

Supported File Types

Text-In-Image Search works with original files in .JPG or the .PNG format that are smaller than 15MB in size. For other formats or files exceeding 15MB, at least one derivative less than 15MB must be available from the asset.

FAQs

Can this feature scan text within Text documents?

This feature will not locate text within images embedded in Word, PDF, Keynote, or PowerPoint documents.

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