Long YouTube transcripts with Pollinations and an 80,000-character limit

A long video, such as a lecture, webinar or interview, can produce a transcript that exceeds 80,000 characters. This limit concerns characters, not words or the video's duration in minutes. When the text exceeds the threshold, the tool reports the error and does not silently cut the content. The solution is to keep a complete source outside the browser and work manually on compatible portions, checking the boundaries of each.

The count in the transcript area helps verify text already loaded. For a larger source, measure the length first in an external editor, avoiding pasting a block that the field might not accept in full. The full version is recovered from an already available source or from the YouTube panel when captions are accessible; if they are missing, the tool cannot generate them from the audio.

Contents

• Measure the problem before starting
• Understand the difference between input limit and internal processing
• Design recognizable manual sections
• Numerical example of division
• Unified summary without mixing versions
• Save before changing section
• Final checks, credit and errors

Measure the problem before starting

A duration in minutes does not convert into a fixed number of characters. Text length depends on speaking speed, language and content density. A video of equal duration can therefore produce very different texts. The count displayed in the transcript area is useful once the text has already been loaded into the field. For a larger source, it is preferable to measure the full length in your own external editor before any attempt at pasting.

It is not advisable to paste text that is too long into a field that might not accept it in full. The full version must be recovered from an already available source or from the YouTube panel when captions are accessible. If captions are missing, the tool cannot generate them from the video's audio.. These initial checks avoid discovering that the limit has been exceeded only after subsequent operations have already been started.

Understand the difference between input limit and internal processing

The 80,000-character limit concerns text input. Within that threshold, the code internally divides long texts to process them. In summarization, for example, it produces notes by part and then an overall summary. This internal division does not however eliminate the input limit: a text exceeding 80,000 characters cannot nevertheless be loaded.

Translation also works by parts and reports progress status. It must nevertheless be checked to identify any omissions or interruptions. Internal divisions do not correspond to official chapters of the video and do not create timestamps. For those who need to process a transcript section with Pollinations it is therefore useful to distinguish what the tool handles automatically from what remains the user's responsibility.

Design recognizable manual sections

When the text exceeds the limit, save a complete original outside the browser. Then divide the document in an editor by themes or logical passages, making sure each portion remains below the threshold. It is important not to cut in the middle of a sentence. An external log helps keep track of the work: section number, descriptive title, first and last words, associated original file and processing status are noted.

If it is necessary to repeat a short context phrase at the boundary between two sections, mark it clearly so duplicates can be removed when rejoining. Any timestamps are noted from the original source; they must not be invented. This approach maintains the integrity of the text and allows verifying later that no part has been omitted or overlapped.

Numerical example of division

A 110,000-character document does not fit within the tool's limit. It can be divided, by way of an expressly hypothetical example, into a first portion of about 55,000 characters and a second of about 55,000, adjusting the boundary at the end of a sentence. This is not an imposed format nor a measure of the video's duration. A small log might report: part 01 introduction and method, part 02 examples and conclusions. First and last word indications serve as descriptive placeholders and are not quotations from a video real.

Once the summaries of the two parts have been obtained, copy them into an external document and verify that the premise, conditions, examples and conclusions of the source are represented. This check ensures that the division has not lost essential elements of the original text.

Unified summary without mixing versions

Compare partial summaries and manually eliminate repetitions or apparent contradictions, returning to the original when necessary. If desired, a text composed of the summaries can be pasted into the tool, provided it remains under the limit, and another summary generated, with corresponding Pollen consumption. This operation is called summary of summaries: it is a further compression step and can lose details. It does not equate to a full translation and does not recover elements already omitted. Intermediate results must always be saved.

Save before changing section

The original field is editable, but editing it deletes previous AI results. Before pasting the next section, it is advisable to download the TXT file, copy summary and translation into clearly named external files and download the image useful. A manual naming scheme can be topic-01-source.txt, topic-01-summary.txt and topic-01-en.txt. These names are assigned by the user and do not constitute an integrated archiving system. A single TXT file does not automatically also contain summary and translation. Reloading the page does not restore any history.

Final checks, credit and errors

Check the start and end of each part, section continuity, absence of gaps and duplicates, and complete translation status. More sections and regenerations can mean more AI requests. Cost cannot be estimated with an unpublished per-minute price. An access error requires checking authorization; a caption error is not resolved by increasing the budget. Do not repeat requests without first saving useful data.

The limit is expressed in characters, not words. The system does not automatically cut overly long texts: it reports the problem. Internal division does not make the transcript unlimited. After closing the tab, work can only be resumed by starting from saved files and reloading the necessary text. For those who have completed section-by-section processing, it is useful to open the workspace for texts and summaries and verify that all intermediate results have been saved externally.

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