Summarise WhatsApp Chats with AI (Step-by-Step)

Summarising a long WhatsApp thread by hand, scrolling, copying, pasting, and prompting, is the slow path. The clean workflow is: export the chat, include voice messages if they matter, upload the .zip, and let a tool that understands WhatsApp do the structural work.

The fastest workflow

1. Export the chat from WhatsApp as a .zip (with media if you want voice messages transcribed).
2. Upload it to a tool that natively understands the WhatsApp export format.
3. Check the preview, then unlock the recap. There is no report type to pick: the recap adapts to what the conversation contains.
4. Get a structured recap, then ask for decisions, action items, open questions or meeting minutes in the follow-up chat. Pull exact quotes the same way, then copy decisions and action items into Notion, Trello, or Google Calendar.

The WhatsApp chat summariser is built around exactly this flow, upload an export, get structured analysis with action items, decisions, and timeline-aware voice transcription. To see how the approach differs from the alternatives, compare ThreadRecap with other WhatsApp chat analyzers.

If you already have a WhatsApp export .zip, you are one upload away from a clean recap.

What you will get

The analysis returns a quick structured briefing:

• Overview: what the conversation is about, who is involved, and where things stand.
• Main topics: the subjects that actually mattered, with concrete detail.
• Highlights: key decisions, commitments, and turning points, with quotes where one message defines the conversation.
• Where to go deeper: what a fuller, directed document of this conversation could cover.

After the briefing, the AI chat takes over: ask follow-up questions, pull exact quotes, and ask for meeting minutes, task lists or timelines as chat answers. The complete chronological record of the conversation downloads as PDF, Word (DOCX) or Markdown, and decisions and action items copy straight into Notion, Trello, or Google Calendar.

Step 1: Export your WhatsApp chat (get the .zip)

Android

1. Open the chat.
2. Tap the menu (three dots, top right).
3. Tap More.
4. Tap **Export chat**.
5. Choose Include media if you want voice messages transcribed. Without media if text-only is enough.
6. WhatsApp hands the finished .zip to the share sheet, once. Whatever you tap there is the only place a copy will exist: dismiss the sheet and the file is in no folder on the phone, and the export has to be redone.

On Samsung (One UI) the sheet has a Save as file entry, sometimes behind More, which writes the .zip to Downloads. On every other Android there is no such entry, so send it to Google Drive. When you upload later, the Android file picker lists Google Drive in its side menu, so you pick the .zip straight from there with no download.

iPhone

1. Open the chat.
2. Tap the contact or group name at the top.
3. Scroll down to Export Chat.
4. Choose Attach Media for voice messages, Without Media for text-only.
5. Tap Save to Files and pick a location. The .zip stays on the phone and you can find it again in the Files app.

Should you choose "Include media"?

Choose it if you have substantive content in voice messages, decisions, rationale, action items, anything spoken rather than typed. ThreadRecap transcribes the voice files and merges them into the timeline so the recap reflects the full conversation.

Choose "Without media" if the chat is mostly text and you want the smallest file. Guides often repeat a 40,000-message cap for exports without media (10,000 with media), but real exports go well past it: ThreadRecap has received single exports close to double the 40,000 figure.

For a deeper trade-off discussion, see Summarise long WhatsApp chats.

Step 2: Upload the export and run the analysis

The flow is:

Direct the analysis in the chat

There is nothing to configure up front. You shape the output after the briefing, in the AI chat that knows the whole conversation:

• Meeting minutes: attendees, agenda, decisions, action items, open questions.
• Action items: task list with owners, deadlines, blockers.
• Decision log: decision, decider, supporting context, dissent.
• Dispute documentation: chronological timeline, commitments, key quotes.
• Relationship insights: tone arc, communication patterns, recurring topics. See relationship insights from WhatsApp history for the full output shape.

Each answer cites the original messages. When the chat is a recurring work sync, ask for meeting minutes from a WhatsApp chat.

Custom directions

If none of these matches your use case, type your own request in the chat. It runs against the same parsed conversation, so date ranges and voice transcription still apply.

Step 3: Voice messages to text (the part most people skip)

WhatsApp conversations often hide the substantive content in voice messages. A 3-minute voice message typically covers more ground than 50 text messages, especially in workflows where the people doing the substantive talking prefer to dictate.

ThreadRecap handles voice transcription as part of the same upload:

• Supported formats: .opus (the WhatsApp default) and .m4a (older iOS exports).
• Transcription engine: OpenAI's audio transcription API, with segment-level timestamps requested when the recap needs timings inside a single clip.
• Accuracy: highest on clear audio. Background noise, overlapping speech, and very low-volume recordings reduce it.
• Timeline merge: each transcribed clip is inserted into the conversation at its original timestamp, attributed to the original sender, so the analysis treats audio identically to typed messages.

Without timeline merge, even a tool that "transcribes voice messages" will miss the substantive content because the analysis layer never sees the audio in conversation context. ThreadRecap's pipeline does the merge automatically.

For more on what to expect from voice transcription, see WhatsApp voice message accuracy. If transcription is the job rather than the summary, WhatsApp audio to text is the page for that.

Practical tip: if your chat relies on voice messages, export with media. Otherwise you are summarising only half the conversation.

Plus modifiers:

Depth happens in the chat, so one upload never pays for parsing or transcription twice.

Step 5: Group chats (keep it focused)

Group chats explode token usage and signal-to-noise ratio. ThreadRecap's approach is to focus analysis on the participants whose contributions actually matter:

• Date range filtering: focus on the period that matters for your task, before you run the analysis.
• Ask for focus in the chat: have the analysis concentrate on the people doing the substantive talking.
• Directed questions: asking for meeting minutes or a task list beats a generic summary for work chats.

Privacy: what happens to your data

Specific privacy claims:

• Local parsing: .zip files are unzipped and parsed in your browser. Photos and documents never leave your device, and video files are never uploaded; from each video, your browser extracts the audio track and sends only that.
• Selective upload: only chat text and voice message audio are sent to ThreadRecap's servers, the rest of the archive stays on your device.
• Encrypted account storage: chat text, voice message audio, and processed recaps are stored encrypted in your account so you can return to the AI chat and replay clips. You control deletion through the dashboard at any time.
• No data sale: ThreadRecap states it does not sell user data.
• No model training on user content: ThreadRecap states it does not train AI models on your chat content.

For sensitive conversations (legal, medical, HR, family disputes), review the privacy policy before uploading. The retention specifics and deletion behaviour are detailed there.

Common problems and fixes

"I cannot export this chat"

WhatsApp's Advanced Chat Privacy feature can block export on a per-chat basis. The setting lives inside the individual chat, not at the device or account level. If export is blocked, someone in the chat enabled the restriction; you cannot bypass it from your side.

"My export is missing voice messages"

You exported without media. Re-export and choose Include media (Android) or Attach Media (iPhone).

"The .zip is huge"

Large media exports can be hundreds of megabytes or more. If you only need a text summary, export without media for a smaller file. If you need audio transcription, keep media. WhatsApp cannot export only part of a chat, so if the conversation spans years, choose the period you need in the preview after uploading.

"The recap missed an important decision"

If the decision was made in a voice message and you exported without media, that decision is not in the chat log at all, the export shows "audio omitted". Re-export with media and re-run the analysis.

If the decision was in text but the briefing missed it, the cause is usually a date range that excluded it. Adjust the range and re-run, or simply ask the chat, which searches the full transcript.

"My chat is too long for ChatGPT but I want a recap"

That is exactly the case ThreadRecap is built for. See summarise long WhatsApp chats for the full multi-pass workflow at 5k, 10k, and 50k message scale.

Quick reference

Can AI summarise an entire WhatsApp conversation?

Yes. The reliable approach is to export the chat as a .zip and run analysis on the export rather than scrolling and copying sections manually. A purpose-built tool handles the full chat in one pass and preserves coherence across thousands of messages.

Do I need to include media?

Only if voice messages carry meaningful content. ThreadRecap supports .opus and .m4a audio and merges transcripts into the conversation timeline.

What file types are inside the export?

_chat.txt (the full message history) plus media files (.jpg, .mp4, .opus, .m4a, etc.) when media is included.

Is it safe to upload a WhatsApp export?

ThreadRecap parses .zip files locally in the browser, never uploads photos, videos, or documents, and stores chat text, voice message audio, and processed recaps encrypted in your account where you control deletion through the dashboard. Review the privacy policy before uploading sensitive conversations. From a video, your browser extracts and sends only its audio track for transcription. The video and its visual content stay on your device.

What languages are supported?

The UI is available in multiple languages and ThreadRecap can return outputs in the conversation's original language or in English. Voice transcription works across a wide range of languages.

Upload your WhatsApp export and run your first recap.