MAJORFailure Reference

Kling AI Text Rendering Failure — Pre-Generation Risk Reference

Technical Classification

Glyph Synthesis & Semantic Adherence Failure

Kling renders typography poorly across both 1.6 and 2.0 model versions. Storefront signs, product labels, screen UI, and t-shirt graphics commonly produce shapes that resemble letters but don't form readable words. This is a Glyph Synthesis & Semantic Adherence Failure — and because the prompt explicitly specified the text, it's objectively verifiable as a prompt-adherence violation. Kling honours text-failure refunds when documented properly through their support flow.

How to identify this failure

✕Sign or label text renders as garbled non-letters
✕Same word changes characters frame-to-frame
✕Mirrored or flipped glyphs in the output
✕T-shirt text or screen UI text is unreadable
✕Wrong language characters appear (e.g., Cyrillic-like in a Latin prompt)

Real generation examples

Prompt used

"A bookstore window with a sign reading GRAND OPENING"

Failure observed @ 0:00 - 0:06

Sign reads "GRRND OPENINK" with mirrored second N and shifting glyphs across frames

Prompt used

"Whiteboard with the word DEMO written on it, office setting"

Failure observed @ 0:02

Whiteboard text renders as "DΞMO" with morphing first character across 0:02-0:04

Documentation strength

If you need to escalate

HIGH — Text rendering failures are objectively verifiable against the prompt. Kling support honours these refunds when the prompt's exact text and the output's rendered text are both quoted.

AVA is a pre-purchase prevention tool, not a post-purchase recovery tool. Platforms generally do not guarantee credit refunds for output-quality failures; goodwill credits are at each platform's discretion. The strength rating reflects how well-formed your support ticket can be, not a promised outcome.

Prevention + documentation steps

01
Score your prompt before you generate
Run your prompt through AVA's pre-flight scoring against the Glyph Synthesis & Semantic Adherence Failure pattern. Green light = generate. Yellow/red = rewrite using the suggested fix before you commit credits.
02
Capture Generation ID + timestamp if it failed anyway
Find the Generation ID in the URL or share link. Note the exact time when the Glyph Synthesis & Semantic Adherence Failure first appears (e.g. "failure first visible at 1.2s"). Timestamped evidence is significantly stronger than a general complaint.
03
Use the correct technical term in your support ticket
Describe this failure as "Glyph Synthesis & Semantic Adherence Failure". This term maps to a recognised internal workflow in the support system and routes the ticket to the right team.
04
Submit via the correct support channel
Runway has no direct email intake. Pro+ plan: open the in-app AI Assistant (help widget bottom-right of app.runwayml.com), describe the failure with the technical term, attach evidence. Free/Standard plan: human support isn't available — your channel is Discord #community-help with @On Call - Moderators.

Frequently asked questions

Will Kling refund credits for garbled text?

Yes, when your prompt specified the exact text that should render. Quote both the prompt text and the actual rendered text in your support request. Cite "Glyph Synthesis Failure" and include the Generation ID.

Why can't Kling render text correctly?

Like all video diffusion models, Kling synthesizes text pixel-by-pixel through the denoising process. Coherent glyph synthesis across temporal frames is an unsolved problem at current model scales — text in training data is sparse and temporally unstable.

Is there a way to get text into a Kling video?

Generate the video without text, then composite the text in post-production using CapCut, DaVinci Resolve, or After Effects. AVA's L1 scanner flags any prompt containing quoted text as high-text-failure-risk before generation.

Score your prompt

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Paste your prompt and the platform you intend to use. AVA returns a red/yellow/green score against this specific failure mode plus a concrete rewrite if the risk is high.

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