- dawarich google timeline visualizer reads exported Google Timeline JSON files in your browser.
- Supported formats include Records.json, Semantic Location History, and newer phone exports.
- Privacy model keeps visualization on your device unless you choose the optional account-saving action.
- Best workflow is to export your history, upload the JSON files, filter by year, and inspect routes.
- Long-term storage requires a separate backup or a persistent self-hosted timeline service.
What Is the dawarich google timeline visualizer?
The dawarich google timeline visualizer is a browser-based tool for exploring Google location history after the Google Maps web Timeline experience changed. It turns exported JSON files into an interactive calendar and map, allowing you to inspect daily movement, visited places, travel patterns, and activity segments without relying on the former Google web interface.
The tool is designed for retrospective exploration. You provide files from Google Takeout or a phone-based Timeline export, and the browser processes the information for visualization. You can then select a year, review individual dates, inspect route points, and identify older trips or places that are difficult to remember from raw JSON alone.
Video Highlights:
- Google Timeline data can exist in several export schemas.
- Local parsing helps keep the uploaded files on your device.
- Route rendering can turn disconnected location points into readable travel paths.
- A visualizer is different from a permanent location-tracking database.
Explore Routes
Review movement paths, individual points, and date-based travel activity on an interactive map.
Recover Memories
Find older restaurants, parks, neighborhoods, commutes, and international journeys contained in saved exports.
Process Locally
Use browser-side JavaScript to visualize files without creating a Google account or automatically sending the data to a cloud service.
| Feature | What It Shows | Best Use |
|---|---|---|
| Calendar view | Days with available timeline activity | Finding a specific date |
| Map view | Points, paths, and place visits | Reviewing routes |
| Year filter | Location history grouped by year | Comparing movement patterns |
| Activity details | Walking, driving, cycling, or transit segments | Understanding how a trip unfolded |
Start with a small export or a single month when testing the workflow. Once the file loads correctly, add larger groups of JSON files for a broader historical view.
Supported Google Timeline Export Formats
Google location data has changed structure over time, so a successful import depends on recognizing which JSON files you have. The visualizer is intended to auto-detect multiple formats and can accept more than one file at once. This makes it useful when your history is split between older Google Takeout archives and newer phone exports.
The older Records.json format generally contains raw GPS records using E7 coordinate values. These files can be large because they may include many individual location pings. Semantic Location History files are organized by month and add higher-level information such as visited places, addresses, and activity segments.
Newer phone exports may use structures such as semanticSegments and timeline paths. Additional files, including settings or timeline edits, can provide metadata but may not be necessary for a basic map review.
| File or Format | Typical Contents | Import Guidance |
|---|---|---|
| Records.json | Raw GPS points in E7 coordinate format | Useful for detailed point history |
| Semantic Location History | Monthly visits, addresses, and activity segments | Upload the relevant monthly files |
| Phone Timeline Export | Newer semantic segments and timeline paths | Useful for recent mobile exports |
| Settings and TimelineEdits | Additional timeline metadata | Include when available for broader context |
Choosing Files for a First Import
Use the following approach when your archive contains many folders:
- Look for
Records.jsonif you want the broadest raw point history. - Locate monthly Semantic Location History files when you want visits and activity categories.
- Add phone exports if your newer data was saved from the Google Maps mobile app.
- Upload multiple compatible files when one export does not cover your full history.
- Preserve the original archive before renaming, converting, or merging anything.
A large file may take longer to process because the browser must parse and organize many points. The source material reports successful testing with files containing more than 630,000 points across more than 15 years, while a 170 MB file may require approximately 20–30 seconds on a modern computer. Actual performance depends on the browser, device memory, and file structure.
Do not edit your only copy of a Google Timeline archive. Keep an untouched backup before combining files, converting schemas, or removing duplicate records.
Step-by-Step Setup and Viewing Workflow
Follow these steps to recreate a practical web timeline from exported data. The process does not require the old Google Maps web Timeline interface, but it does require a JSON archive that you still possess or can export from a supported device.
Export or Locate Your Timeline Files
Check Google Takeout, a phone Timeline backup, or an existing archive for location-history JSON files. On supported mobile workflows, look for the Google Maps Timeline export option in the app’s location or personal-content settings. Save the resulting files locally.
Open the Visualizer
Launch the Google Timeline Visualizer in a modern browser. Keep the original files on your device and confirm that you are using the intended local visualization workflow before selecting any optional cloud-saving feature.
Drop JSON Files into the Page
Drag one or more compatible JSON files into the upload area. The tool attempts to identify Records.json, Semantic Location History, and newer phone export structures automatically.
Choose a Year or Date
After processing finishes, use the calendar and year controls to narrow the display. Start with one year or one month if the full archive makes the map difficult to read.
Inspect Routes and Places
Select visible dates, points, places, or activity segments. Use the map to review daily movement, forgotten visits, and longer journeys. Keep a separate copy if you want to preserve notes or screenshots.
| Workflow Stage | Main Action | Expected Result |
|---|---|---|
| Preparation | Find and back up JSON files | Original archive remains available |
| Loading | Drop files into the browser | Files are parsed for visualization |
| Filtering | Select a year or date | The map becomes easier to inspect |
| Review | Open points, places, and segments | Travel history becomes readable |
| Preservation | Save notes or retain the archive | Findings remain available after the session |
Practical Review Tips
For a clean first pass, focus on one year rather than loading every archive immediately. This makes it easier to distinguish routine commuting from unusual travel. When reviewing a long journey, inspect both the activity segments and the individual points because they may provide different levels of detail.
If a route looks implausible, treat it as a data-quality issue rather than a confirmed trip. GPS records can contain inaccurate points caused by weak signals, indoor positioning, or gaps between recorded locations. The visualizer helps you inspect the archive, but it does not turn every coordinate into verified evidence.
Use the year filter first, then inspect dates with meaningful activity. This reduces map clutter and makes unusual points easier to investigate against your own memory.
Privacy, Browser Processing, and Data Limits
The tool’s main privacy feature is browser-side visualization. The published description states that files remain on the device during visualization and are discarded when the tab is closed. The optional “Save to my Dawarich account” action is different: it uploads the selected file to Dawarich Cloud to prepare an import.
This distinction matters because location history can reveal home areas, workplaces, travel routines, and frequently visited places. Before loading an archive, decide whether you only want temporary inspection or whether you intend to create a persistent account-based copy.
The broader open-source ecosystem also includes tools for permanent storage and analysis. A visualizer is ephemeral by design, while a self-hosted service such as Dawarich can maintain an ongoing spatial database when configured with mobile clients and private server infrastructure. These are separate use cases rather than interchangeable functions.
| Privacy Mode | File Destination | Suitable For |
|---|---|---|
| Browser visualization | Local device during the session | Temporary review and exploration |
| Optional account save | Dawarich Cloud | Preparing an account import |
| Personal backup | Your own storage | Long-term archival |
| Self-hosted tracking | Private server database | Ongoing collection and analytics |
Privacy Checklist Before Uploading
Before You Load Location History:
- Keep an untouched copy of every original JSON export
- Confirm whether you are using local visualization or optional account saving
- Close the browser tab after temporary review
- Avoid sharing screenshots that reveal home or workplace locations
- Use a separate backup plan for long-term preservation
The visualizer also depends on map tiles to draw the geographic background. The source material notes that requesting map tiles can expose network metadata, such as an IP address and approximate tile areas, to the tile provider. A privacy-first workflow therefore means more than checking where the JSON is processed; it also means understanding the external requests required to display the map.
Local file parsing does not necessarily mean that every map request is local. Read the tool’s privacy notice and consent prompt before the first map tile loads, especially when reviewing sensitive travel history.
Google Timeline Visualizer FAQ
Q: What is the dawarich google timeline visualizer used for?
It is used to view exported Google Timeline JSON files in a browser. You can explore calendar dates, map points, routes, place visits, activity segments, and year-by-year movement patterns.
Q: Can I use the visualizer without Google Maps?
Yes. After you obtain compatible JSON files, you can load them into the independent visualizer and inspect the history through its calendar and map interface without using the former Google Maps web Timeline.
Q: Which Google Timeline files should I upload?
The visualizer is designed to detect Records.json, monthly Semantic Location History files, and newer Phone Timeline Export structures. You can upload multiple files when your history is divided across export methods.
Q: Does using the visualizer permanently store my location history?
The local visualization workflow is described as temporary browser processing, with files discarded when the tab closes. The optional Save to my Dawarich account action is separate and uploads data to Dawarich Cloud for import.
Common Troubleshooting Cases
| Problem | Likely Cause | Practical Response |
|---|---|---|
| No map data appears | Unsupported, incomplete, or empty JSON file | Verify the file name and export contents |
| Loading takes a long time | Large archive or many location points | Start with one month or one year |
| Route contains odd jumps | GPS noise or sparse records | Compare nearby points and activity details |
| History is incomplete | Older data was not exported or preserved | Search older Takeout archives and backups |
| Data disappears after closing | Local session ended | Keep the original files and create a separate backup |
The most important limitation is that a browser visualizer can only display data that you still have. Google’s web Timeline transition moved location history toward on-device storage, and older records may not be recoverable if they were not backed up or exported. If the mobile app does not show an expected period, search local archives, Takeout folders, and previous device backups before assuming the history is gone.
The visualizer can make an existing archive readable, but it cannot recreate records that were deleted or never included in an export. Treat every successful export as an archival copy worth protecting.
Best Uses and Long-Term Workflow
The tool is especially useful for retrospective projects: reviewing a vacation, finding a previously visited location, checking how commuting patterns changed, or creating a visual record from old movement data. It can also serve as a first inspection layer before importing information into a longer-term private database.
For ongoing tracking, use a solution built around persistent storage rather than expecting a one-time browser visualizer to append new movements automatically. A practical hybrid workflow is to keep original exports in private storage, use the visualizer for quick route inspection, and use a separately managed service when you need continuous logging or lifetime analytics.
Memory Research
Filter by year and date to rediscover places, trips, and routines from older location history.
Archive Validation
Check whether different Google exports contain overlapping periods, missing months, or unexpected gaps.
Route Presentation
Use readable paths and activity segments as the basis for personal travel summaries or visual records.
| Goal | Recommended Tool Type | Why It Fits |
|---|---|---|
| Review an old trip | Browser visualizer | Fast, temporary map exploration |
| Inspect many export schemas | Multi-format parser | Combines older and newer JSON structures |
| Preserve original data | Private backup | Protects against future service changes |
| Track new movements | Persistent private service | Stores incoming location records over time |
| Analyze lifetime travel | Spatial database | Supports long-term maps and distance queries |
Use the official Dawarich Google Timeline Visualizer for the current browser workflow and privacy details. Before importing anything, verify that the page, file handling behavior, and optional account features match your intended privacy model.
Keep three separate layers: original archive, temporary visualization, and optional persistent storage. Separating these roles makes troubleshooting and privacy decisions easier.