Understanding OCR in Pics.io
When people talk about OCR (Optical Character Recognition), they may mean different things depending on the context. In Pics.io, OCR can be applied to both text documents and images — but the way it works in each case is slightly different.
OCR for Text Documents
For text-based files (such as PDFs, Word documents, etc.), OCR in Pics.io focuses on recognizing and indexing the actual content of the document. After processing the file, Pics.io allows you to search through the full content of your documents, not only titles or metadata.
This way, if you upload a contract, product sheet, or any other document, you’ll be able to find it later by searching for specific words or phrases that appear in the text.
OCR for Images
OCR in Pics.io can also detect text or symbols embedded in images. This is particularly useful for:
Product photos that include labels or packaging details.
Marketing materials such as posters or flyers.
Screenshots or scans that contain visible text.
In this case, OCR relies on AI-based recognition models that can automatically extract text elements from your visuals. Additionally, you can refine the process with custom prompts (available with AI-kit Tier 2), which help the system understand what kind of text or symbols you want it to prioritize during detection.
In summary, Pics.io OCR is available for both text documents and images:
Documents → full-text search inside the content.
Images → AI-powered recognition of text and symbols for search.
Although both fall under the term OCR, Pics.io uses different methods and technologies for each case, ensuring the most accurate results for your assets.
If you’re not sure which type of OCR fits your workflow, feel free to reach out to our support team — we’ll help you set it up in the most efficient way.