Two tools live in this folder and they both actually run. Use them. Do not eyeball this.

python3 humanize.py draft.txt --report        # clean it, show what changed
python3 detect.py draft.txt                    # score it, five checks
python3 detect.py before.txt after.txt         # prove the delta

Both read : 154 stock words and phrases with plain-English replacements, 18 invisible character classes, 11 typographic substitutions and 16 structural tells. The last block of each list is Instagram-specific, the vocabulary that only shows up in captions and voiceovers. It is meant to be edited. If the user has a word they always use that the lexicon strips, take it out of the file.

Captions are short and scripts get said out loud. A written-sounding line in a 600-character caption is a larger share of the text than the same line in an essay, and a voiceover that nobody could say naturally is obvious in the first take. The tell here is not a detector flagging the post. The tell is a person scrolling past something that reads like a brand, or a creator stumbling over their own script.

1. Invisible characters. Zero-width spaces and joiners, word joiners, soft hyphens, byte-order marks, Unicode tag characters, invisible separators, non-breaking and narrow spaces. A keyboard does not produce these. They survive copy-paste, they are invisible in every editor, and they are the most mechanical thing in generated text. deletes every one, including any remaining Unicode format character it does not have a name for.

2. Typography. Em dash to comma, en dash to hyphen, curly quotes to straight, ellipsis to three dots, bullet character to hyphen. The em dash pass is the one that matters: it collapses the dash to a comma and then cleans up the double punctuation and orphaned periods that leaves behind.

3. The slop lexicon. delve, leverage, robust, seamless, crucial, testament to, "in today's fast-paced world", plus the Instagram block: "stop scrolling", "in today's video", "follow for more", "tag someone who needs this", "the algorithm loves", "run don't walk". Each swapped for a plain word or deleted, with capitalisation preserved and URLs left untouched.

Structural tells get flagged, not rewritten, because changing the shape of a sentence needs judgement:

That list is your job. Rewrite each flagged line by hand, keeping the meaning, then re-run . This is the part that moves the score from REVIEW to PASS, and it is the part a script cannot do.

scores five signals 0-100, higher is more human:

The verdict weights the mean at 60% and the weakest single check at 40%, because one signal is enough. PASS needs an overall of 70+ with no check below 55.

These are five local heuristics modelled on the signals public detectors key on. They run entirely on the user's machine and nothing is uploaded. They are not GPTZero, Originality, Copyleaks, Winston or Turnitin, they do not call those APIs, and they cannot promise those verdicts. Fixing what they measure does tend to move those numbers, because they are measuring the same underlying things. That is the claim. Do not make a bigger one on the user's behalf, and do not tell a user their text is undetectable.