WhatsApp Image to Text
Save the WhatsApp image → open scantext.net → upload or paste → run OCR → copy text. Free, no signup, browser-first privacy.
📌 June 2026 — ScanText team
WhatsApp forwards arrive as compressed JPEGs — homework, invoices, menus, screenshots of chats you cannot copy. Searching whatsapp image to text, extract text from whatsapp photo, or read text from forwarded image points to the same need: OCR without installing another app. ScanText at scantext.net works in your mobile browser: save the image from WhatsApp, upload it, or paste if you already captured a screenshot. Browser OCR when possible keeps private chats off third-party servers; optional Higher quality helps blurry forwards. This 2026 guide covers Android and iPhone workflows, Arabic and Hindi forwards, and when to use png-to-text for sharper exports.
Android: text from WhatsApp image
Open the image in WhatsApp → tap menu → Save to gallery. Open Chrome and go to scantext.net, tap upload, pick the saved file, run OCR. Alternatively screenshot the chat and paste with the Paste button if your browser supports clipboard images.
For long homework photos, crop mentally to the paragraph you need before upload — less background improves accuracy. Hindi and Arabic forwards: set Document language before OCR.
iPhone: extract text from WhatsApp photo
Long-press the image → Save to Photos. Open Safari at scantext.net, upload from Photos, or use Share → save then upload. iOS screenshots of WhatsApp UI work with screenshot-ocr paste workflow.
HEIC photos from iPhone camera roll are supported when saved as JPG/PNG through WhatsApp; direct HEIC upload may vary by browser — export as PNG if needed.
Why not use iLovePDF for WhatsApp images?
iLovePDF expects file upload to its cloud and gates advanced OCR behind Premium. For a single forwarded JPEG, ScanText is faster: no account, browser OCR, copy in seconds. See iLovePDF OCR Alternative (Free) for a full comparison.
For privacy details on local vs cloud OCR, read Browser OCR vs Cloud OCR.
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- Save the image, upload to ScanText, run OCR, copy from the preview panel.
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