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Heads up: this guide was last verified on Aug 19, 2026. Free-tier limits change often — re-check the provider's current pricing page before relying on it. Report an outdated limit.

Generate Screen-Reader Alt-Text for Images for Free

Upload any image to Google AI Studio's free tier and get detailed, screen-reader-friendly alt-text descriptions instantly—no credit card required, capped at 1,500 requests per day.

✓ No Credit Card ✓ 1,500/day Free ✓ Verified 2026-08-19

Cost Comparison

$20/mo or $15/hr → $0.00

Interactive Quota Calculator

0 / 1500 per day (0%)
0 / 15 per minute (0%)

Step-by-Step Walkthrough

Step 1: Access Google AI Studio

Go to Google AI Studio and sign in with a standard Google account. No credit card or payment method is required to access the free tier.

Step 2: Upload Your Image

Start a new chat and upload your target image using the attachment (paperclip) icon at the bottom of the chat interface.

Step 3: Apply the Prompt Template

Paste the following prompt into the chat box and send it alongside your image.

Act as an accessibility specialist. Write a detailed, screen-reader-friendly alt-text description for this image. Focus on: 1. The main subject and action. 2. Relevant text visible in the image. 3. The setting, lighting, and mood. 4. Any critical details a visually impaired person would need to understand the context. Keep the description under 150 words. Do not start with "This image shows".

Step 4: Review and Deploy

Review the generated description. Make any minor manual adjustments for hyper-specific context, then copy it directly to your website, social media post, or document.

⚠️ What Breaks (Limitations)

Three Things to Remember

1. No credit card is required
Google AI Studio's free tier is genuinely free and does not ask for payment details to access the 1,500 daily requests.
2. Quotas reset on a rolling 24-hour basis
If you hit the 1,500 request limit, you do not have to wait until midnight. The limit resets exactly 24 hours after each individual request was made.
3. Specific prompts yield better results
Generic commands like "describe this" produce vague outputs. The provided template forces the model to focus on screen-reader priorities like text, mood, and critical context.