Reddit Caption Generator - Auto Subtitles

Reddit plays whatever is already inside the file you upload. It does not transcribe your audio, and a normal post has nowhere to attach a subtitle file. On Reddit, burned-in captions are the reliable route, and that changes how you build the video: the captions are part of the render, not an afterthought.

Permission comes before the paste

Start from the exact Reddit text you are allowed to reuse, and remove personal details before anything reaches an AI service. Publicly visible text can still contain sensitive information. Confirm the rights to the source material first, because a caption you cannot legally reuse is a dead end no matter how good the clip is.

OCR misreads small fonts and cropped lines

A screenshot can be your source, and OCR will extract the visible text, but small fonts and cropped lines cause errors. Compare the extracted text with the original image, then remove usernames, votes, interface labels and unrelated comments. What survives that cleanup becomes the story your script and captions are built on.

Should the username stay in the video?

Usually not. Remove it unless naming the account is necessary and you have a clear reason to show it. The same review pass covers slang, punctuation and broken paragraphs, because every one of them ends up in the script first and in the captions afterwards. If the story depends on one comment, show that comment when it is discussed and skip the rest.

Timing comes from the audio, not the post

Shape the cleaned text into a short script, then record or generate the voice-over before you create any subtitles. Transcribing the finished audio gives captions that match what the narrator actually says, instead of an estimated reading speed. Names, abbreviations and slang need a manual pass before the text is locked. Preview the full video afterwards and check that every caption appears at the right moment without covering important visuals.

Social copy and subtitles are two different jobs

Write the post caption from the source text and generate video subtitles from the final audio, and keep those stages separate. Once the captions are timed, a JSON-to-video render burns them in and produces the upload-ready file. Running the same pipeline for each new story is what makes batch production manageable.