SilverAIDetect text regions and return a mask, ready to feed the Remove Text API.
Text Detection by SilverAI locates text regions in an image and returns a precise mask covering every detected character and word. Rather than altering the image, it produces a pixel-accurate RGBA mask that marks exactly where text appears, leaving you in full control of what happens next. The mask can be reviewed, edited by hand, or fed directly into a downstream removal step.
This model is the natural companion to the Remove Text API. The mask returned here can be passed as the input_mask to Remove Text, optionally after manual touch-ups, giving you a clean, two-stage pipeline: detect first, then remove. Because detection and removal are decoupled, you gain transparency and fine-grained control over which text gets erased, retouched, or preserved.
Multi-language detection: Reliably detects both Latin and non-Latin scripts, including CJK, Cyrillic, Arabic, and more.
Tight, accurate masks: Returns pixel-precise RGBA masks that hug character edges for clean downstream results.
Pairs with Remove Text: The output mask drops straight into the Remove Text API as input_mask for an end-to-end removal pipeline.
Editable output: Masks can be manually refined before removal, so you decide exactly what stays and what goes.
Flexible input: Accepts an uploaded image file or a remote image URL.
Clear empty signal: Returns a null mask and detected: false when no text is present, making conditional logic simple.
Save up to 70% vs direct pricing
Aggregated volume discounts.
Use Cases
Pinpoint embedded text regions with high accuracy to build flexible workflows for removal, translation, or selective editing.
Text Detection API is commonly used as the first step in text removal pipelines. Developers can review or edit the generated mask before sending it to Remove Text API, giving full control over which text regions are removed and which should be preserved.
Global marketing and e-commerce platforms use Text Detection API to locate embedded text inside banners, product images, and promotional creatives before replacing it with translated content. This helps automate multilingual content localization workflows at scale.
Photo editing apps, design tools, and AI image editors can integrate Text Detection API to let users automatically select text regions with a single click. The returned mask can then be used for text removal, blur effects, inpainting, or custom editing actions.
Integration in 3 steps
Integrate the Text Detection API into your existing workflow via Snapedit with just a few simple steps. No credit card required to start.
Create your Snapedit account in 30 seconds and receive free credits instantly. No credit card required.
Generate a globally valid Snapedit key with easy management from your dashboard.
Update your Base URL and API key to start calling Text Detection with smart routing and cost optimization.
FAQ
Everything you need to know about using the Text Detection API through Snapedit.
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