IGTranscript

How do I repurpose an Instagram Reel into a blog post?

One 161.2-second Reel came back from this tool as 338 words in 27 segments — 1,875 characters of speech at 125.8 words a minute — and that single run already holds all three outputs. The same 27 segments write out as 2,784 bytes of .srt or 2,792 of .vtt, they paste as a 27-line thread at 69.4 characters a line, and the 338 words are the raw material for a post that needs 2.96 Reels to reach 1,000 words. Nothing is transcribed twice. What has to be rebuilt is the structure: 17 of the 27 lines stop mid-sentence, the timestamp box ships ticked so the default copy is 2,280 characters of which 405 are stamps, and the plain-text path in app.js adds 0 line breaks of its own.

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The rest of this page is the arithmetic behind those figures: what the measured run actually returned and how stable its density is across two lengths, what each of the three outputs costs in bytes and characters, the five places in the export that work against a paste, why 17 of 27 lines cannot be trusted as sentence ends, and what the three pages that outrank this one say about repurposing across 221,262 characters of their own copy.

What one measured run actually returns

The run is a 161.2-second single-voice recording, transcribed in 71.4 seconds on the better-accuracy checkpoint, in this browser, on this machine, on 27 October 2026. The panel reported 338 words and 27 segments. Strip the 15-character stamp in front of each line and the text is 1,875 characters, which is 5.547 characters a word — the ratio that turns any word target into a character count.

The three outputs, and what each one costs

All three come out of one run, and only one of them has an overhead you can calculate before you start. The subtitle files are 2,784 bytes for the .srt and 2,792 for the .vtt against 1,875 characters of words, and the 909 bytes between them are 32 bytes of scaffolding per cue plus 45 digits of numbering for cues 1 to 27.

One Reel produces one transcript, and that single transcript feeds three outputs at once: a subtitle file, a thread, and a blog post. The post column is drawn inside a dashed box because it needs more than one Reel to fill it, while the other two columns are complete after the first run. One run, three outputs The transcript is the only thing you would make twice by splitting the work by hand. one Reel one transcript segments, not sentences subtitles .srt or .vtt, one cue per segment thread one line per segment, as they are post the words, restructured needs more than one Reel to fill the other two columns are already full
One run fills all three columns, but only two of them completely. The subtitle file is 2,784 bytes for the 27 cues and the thread is the same 27 lines at 69.4 characters each, so both are finished when the transcription ends. The post column is the one that keeps asking: at 338 words a Reel, a 1,000-word post needs 2.96 Reels, which is 5,547 characters of transcript and 476.9 seconds of speech. The dashed box is that gap — it is not a second transcription, it is a second and third Reel, and each of them costs the same 71.4 seconds this one did.
Twenty-seven segment ends, of which ten close a sentence and seventeen stop mid-sentence, above a clipboard bar in which the timestamped part is a fifth of what lands on the clipboard. What the paste is made of The words are clean. The container around them is not. ends a sentence stops mid-sentence what the copy button holds words timestamps, because the box ships ticked Pasting line for line inherits every one of those open ends, and the timecodes arrive unless you untick a box first.
One run gives 27 segments and 1,875 characters of words, but only 10 of the 27 lines end on one of the 16 sentence-ending marks in the run — the other 17 stop mid-sentence, so a thread pasted line for line inherits 17 false breaks. The clipboard is worse than the words: line 69 of index.html ships the timestamp box ticked, so the default copy is 2,280 characters of which 405 are timecode — 15 per line, 17.8% of everything you paste, and there is no setting where the screen shows stamps and the clipboard does not, because Copy and the .txt download both read the same currentBody().

Five things in the export that work against a paste

The words are clean; the container around them is not. Four of the five are visible on the page you are reading and one is in app.js, and all five are worth checking before you paste 1,875 characters into an editor.

Rebuilding paragraphs, because 17 of 27 lines stop mid-sentence

The transcript is 27 decoding windows, and a window closes on a timer rather than on a full stop. In the 1,875-character run, 10 of the 27 lines end with a full stop, a question mark or an exclamation mark; the other 17 end wherever the window ran out, often after a comma. 11 of the 27 lines begin with a capital, which means the other 16 begin mid-sentence.

What the three pages that outrank this one say about it

Across the 30 Instagram pages the three sites publish — 221,262 characters of body text once the heading lists and the navigation are stripped, because those are not sentences a reader sees — the word “blog” appears 30 times on wayin.ai, 8 times on speakapp.com and 4 times on getthescript.app, and the stem “repurpos” 17, 10 and 10 times. All three name the blog post as a destination. None of them says what one Reel is worth in words.

How many Reels do I need for a 1,000-word post?

2.96 at the density measured here: 338 words from a 161.2-second Reel, so 1,000 ÷ 338 = 2.96. That is 5,547 characters of transcript and 476.9 seconds — 7.95 minutes — of speech at 125.81 words a minute. Round up to three Reels and you have 1,014 words. The longer run is the exception worth knowing: 1,194 words from one 600.3-second Reel is 1.19 posts on its own.

Should I keep the timestamps when I paste into a blog?

No, unless the post is itself a transcript. The stamps are 405 characters inside a 2,280-character copy, 17.8% of it, and at 15 characters a line they interrupt every sentence they sit in front of. Untick the box before you copy — the button copies what is on screen, so unticking it is the whole fix, and 1,875 characters arrive instead of 2,280.

Can I get the whole transcript as one paragraph?

Not from this tool, and not because paragraphs are hard. The plain-text path writes data.text unchanged and adds 0 line breaks of its own; the only newlines in app.js are in the two subtitle builders and in the timestamped view. You get 1,875 characters carrying the model’s own breaks, and the paragraph structure is something you add — 9 paragraphs of 37.6 words if you merge three segments at a time.

Do I need to run the transcript again for each output?

No. One run produces all three: 27 cues for the subtitle files, 27 lines for the thread and 338 words for the post, all from the same 161.2 seconds of audio and the same 71.4-second transcription. A second run would give you the same 1,875 characters with different segment boundaries, because the windows are timed rather than chosen, so it would cost 71.4 seconds to arrive at a slightly different place.

What does a 10-minute Reel give me on its own?

1,194 words, measured: a 600.3-second run returned 111 segments and 8,173 characters of timestamped text, which is 1.19 posts of 1,000 words before you add anything. Its density was slightly lower than the short run — 119.34 words a minute against 125.81 — so budget by the minute rather than by the Reel, and expect a 10-minute clip to be worth about 1,200 words and 6,398 characters once the stamps come off.

Last checked: 29 October 2026. Every count here was measured on this machine or read out of the deployed files. The transcript figures come from a 161.2-second run on 27 October 2026 — 338 words, 27 segments, 71.4 seconds, 1,875 characters after the stamps are removed — and from a 600.3-second run the same day that returned 1,194 words, 111 segments, 8,173 characters and 251.5 seconds of recognition. The 2,784 and 2,792 byte figures were produced by running this site’s own buildSrt() and buildVtt() over the real 27 lines of that transcript; because a stamp is a fixed 12 characters, the byte count does not depend on the times used, and 2,784 − 1,875 = 909 = 27 × 32 + 45 was checked against the printed output. The window count is arithmetic on chunk_length_s: 30 and the library’s 5-second stride, not a measurement. The source counts were read from the deployed app.js, which is 22,349 bytes: newline writes at lines 383, 386, 387 and 419 and nowhere else, the annotation regex at line 413, the download name at line 520, and the timestamp checkbox at line 69 of index.html. The competitor figures cover 30 Instagram pages and 221,262 characters of body text in the benchmark files held on this machine, counted after the heading lists and navigation were stripped; every quoted sentence is reproduced as written and attributed to the page it came from. Nothing on this page estimates search volume, difficulty or price.

If the question is what a transcript is for rather than how to cut one up, what to do with an Instagram transcript covers the three jobs and the byte cost of each of the four outputs. The SRT and VTT page takes the 2,784-byte file apart cue by cue, the timestamps page explains what the 15 characters in front of each line are made of, and the accuracy page covers the 19 words that came back wrong in this same 338-word run — worth reading before you publish 1,875 characters under your own name.