Dayora ChatGPT Journal Reader

A ChatGPT export can mix personal notes, practical questions and long assistant replies. Dayora’s journal reader gives that archive a narrower view: text attributed to the user, searchable by message and conversation title. You choose what belongs in the resulting Markdown file. The tool does not decide which messages count as a journal.

That distinction matters. A user-labelled message may contain a quote or pasted AI text, so the role label does not establish who wrote every sentence. Assistant replies, images and audio are left out. Available timestamps are kept, while missing dates stay undated. The output is a selection for reading, not a complete replacement for the original archive.

The reader accepts a ChatGPT ZIP or conversations.json file up to the stated 32 MB conversations-file limit. Encrypted and ZIP64 archives need the JSON extracted first. It displays the first 100 matching messages, although selecting all includes every match. The page provides a fictional two-note example and its expected Markdown output. ProjectRadar inspected that explanation and the visible controls without loading a personal export or testing the conversion.

Dayora says the isolated reader cannot make network requests and does not send message contents to the surrounding page. That page can record coarse tool actions and signup attribution unless analytics are declined. These are the maker’s published descriptions, not an independent check of network behavior.

The reader is free and does not require signup to export. Its optional route into Dayora’s commercial journaling service is a different workflow: create an account, choose the original ZIP or JSON again, then review what to import. Selections do not transfer from the reader, and its Markdown output is not an import file.

The signed-in service has broader data practices. Its privacy policy says journal content goes to OpenAI and may be used for model training, and that staff can access entries for support and quality checks. Keeping a readable local selection does not require taking that next step.