Reddit Text Cleaner — TTS-Ready Narration
Pricing
from $0.20 / 1,000 text cleaneds
Reddit Text Cleaner — TTS-Ready Narration
Turn messy Reddit/forum text into clean, TTS-ready narration: strips markdown, links, edit-stamps and emoji, expands abbreviations (AITA, MIL, TIFU…), splits into sentences, and optionally softens profanity. No AI, instant, deterministic.
Pricing
from $0.20 / 1,000 text cleaneds
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Developer
Dami's Studio
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2
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1
Monthly active users
20 hours ago
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Reddit Text Cleaner
Reddit and forum text is full of stuff that wrecks text-to-speech: markdown asterisks, link syntax, "Edit:" stamps, emoji, and abbreviations like AITA that a voice reads letter by letter. This actor cleans all of that out and hands back narration that's ready to feed into a TTS engine. It's built for people generating Reddit story videos or audio at scale, where the cleanup step needs to be cheap and predictable.
How it works
Pure rules, no model. It runs a fixed pipeline of regex passes (strip markdown and links, drop edit-stamps and emoji, expand abbreviations, then optionally rewrite profanity), splits the result into sentences, and returns it. Same input always gives the same output, and it returns instantly.
Input
Nothing is strictly required, but you need to pass text one way or another. Use text for a single block, or texts for a batch. If both are present they're all processed.
| Field | Required | Notes |
|---|---|---|
text | no | One block of text to clean, e.g. a post body. |
texts | no | Array of strings or post objects. For objects it reads scriptText, narration, selftext, body, or text, in that order. Lets you pipe the Reddit Scraper's output in directly. |
expandAbbreviations | no | Expand internet shorthand for TTS: AITA to "Am I the asshole", MIL to "mother-in-law", IMO, TIFU, and so on. Default true. |
profanityMode | no | keep leaves swears as-is, soft swaps in mild words (handy for ad-safe narration), censor masks them as f***, remove deletes them. Default keep. |
wpm | no | Words per minute used to estimate read time. Default 150. |
Output
One dataset item per input text. The cleaned narration is in cleaned, and ttsSegments is that same text split into sentences if you want to render audio per line. You also get wordCount, sentenceCount, charCount, readTimeSeconds (based on your wpm), a hookScore for the opening line, and the truncated original.
Example
Pricing
$0.0002 per text cleaned. Pay per result, no subscription.
Notes
Everything here is rule-based, so there's no OpenAI key needed and nothing to configure for the AI path. The trade-off is that abbreviation and profanity handling cover a curated list rather than every possible variant, so an obscure acronym may pass through untouched.
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