Feature
Extract text from synced screenshots
Open a screenshot already synced to your Captorify account and select the text you need. Recognition runs in your browser after English OCR components load. The synced capture itself is stored in the cloud; for an existing image you have not synced, use the free Image to Text tool.
Step 01
What text extraction does
Text extraction reads the visible text in a screenshot and turns it into copyable text you can paste into a ticket, a doc, or a search box. Captorify runs this with browser-based OCR so you do not have to retype what is on screen.
- Converts the text in an image into copyable text.
- Runs in the browser using on-device OCR.
- Cloud-editor text extraction requires a paid plan. Public English image-to-text OCR is free.
It is the fast way to pull an error message, a code snippet, or a long block of text out of an image instead of transcribing it by hand.
Step 02
When text extraction helps
Picture a stack trace in a bug screenshot or an error dialog you want to search for. Extract the text, check it against the image, then paste the corrected result into your issue tracker or a search engine.
You can also extract a paragraph from a document image or values from a screenshot. Check numbers and punctuation carefully, and avoid pasting credentials into a ticket or search engine.
Step 03
Privacy boundary
The free public OCR tool reads a chosen image locally and does not upload the image or extracted text. It downloads recognition software and language data when needed. The paid editor also recognizes text locally, but its input capture has already been synced to cloud storage.
- OCR runs on your device, not on a remote server.
- Recognition adds no upload; a cloud-editor capture is already stored online.
- Captorify has no cloud-OCR mode.
There is no cloud OCR option in Captorify. If you compare local and cloud OCR elsewhere, the difference is that cloud OCR sends the image to a server, while Captorify reads it on-device.
Step 04
Accuracy limits
Clean, high-contrast text gives OCR a better chance of reading correctly. Small fonts, low-resolution captures, stylized type and busy backgrounds can cause errors. Always proofread the result.
- Best on clean, high-contrast, reasonably sized text.
- Small, stylized, or low-resolution text can be misread.
- Proofread the result before you depend on it.
For best results, capture at a comfortable zoom level and use a sharp original image instead of an enlarged or heavily compressed copy.
Step 05
Workflows
Extraction fits any task where the text in an image has to become editable text. Pull an error into a bug report, lift figures into a spreadsheet, or copy quoted text into documentation.
For an image that must remain off cloud storage, use the public image-to-text tool with a locally saved file. A cloud-editor capture has already been uploaded even though its text recognition runs on your device. Before taking a capture that must remain local, turn off "Sync captures to cloud" in the extension settings, or use your browser’s native screenshot tool. Saving locally does not prevent automatic sync when it is enabled.
Step 06
Related privacy choices
Extracted text can contain the same sensitive values as the screenshot. Before sharing either the image or the text, redact anything private, and run through a privacy checklist when the capture leaves your team.
Step 07
Read an existing image with the free browser tool
The public English OCR tool works without an extension or account. It downloads its recognition software when needed, reads the selected image locally and returns editable text.
Use this tool when you have a saved image to read. The paid editor offers text extraction for captures already stored in your account.
FAQ
Common questions.
Short answers about capture, privacy, sharing, and billing.