Verify Base64 (Catch LLM Errors)
LLMs often invent Base64 or “decode” gibberish into plausible English. Paste a Base64 string (and optional claimed plaintext) to validate the alphabet, round-trip the bytes, and prove whether the model got it right—deterministic, not probabilistic.
Why verify Base64 from AI?
ChatGPT, Claude and Copilot frequently invent Base64 that looks valid but does not decode to the claimed text—or “decode” random strings into English. Reddit and benchmarks show even strong models miss perfect encode/decode often. This tool runs a real algorithm in your browser.
Checks performed
- Alphabet and padding sanity (standard + URL-safe)
- Successful decode to bytes
- Round-trip: re-encode and compare canonical form
- Optional plaintext match (UTF-8)
- Rough LLM token cost of the Base64 string (≈ chars/4)
Read more: ChatGPT cannot reliably decode Base64 and Base64 for AI agents.
Veelgestelde vragen
Can ChatGPT decode Base64 correctly?
Not reliably. Models generate plausible text; they do not run a Base64 algorithm. Always verify with a real decoder. See our guide on LLM Base64 mistakes.
What is a round-trip check?
Decode the Base64 to bytes, re-encode with a strict encoder, and compare. If the canonical form differs (after normalizing alphabet/padding), the input was messy or invalid.
When should AI agents use this?
Before trusting any model-produced Base64 in Basic Auth headers, JWTs, data URIs or config files. Agents should call a deterministic tool, not the model, for encode/decode.
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