google timeline visualizer: Step-by-Step Export Guide - Data

google timeline visualizer: Step-by-Step Export Guide

Learn how to export Google Timeline files, open them in a browser visualizer, compare formats, and explore location history privately.

2026-08-26
google timeline visualizer Wiki Team
Quick Guide
  • google timeline visualizer turns exported location files into an interactive browser map.
  • Best starting point: Export Timeline data from Google Maps on your phone.
  • Supported files: Records.json, Semantic Location History, and newer Phone Timeline Export files.
  • Privacy focus: Browser-based processing keeps files on your device during visualization.
  • Main workflow: Export, upload, filter by year, inspect routes, and review place visits.

What Is a Google Timeline Visualizer?

A google timeline visualizer is a browser-based tool for opening location-history exports without relying on the former web version of Google Maps Timeline. Instead of viewing data only inside the Google Maps app, you can load exported JSON files and inspect routes, stops, activity segments, and visited places on an interactive map.

This approach is useful when you want to review several years of movement history, search for forgotten destinations, or preserve access to data that is no longer conveniently available on the web. The visualizer described in the reference material supports multiple Google export formats and can combine several files in one session.

Editor Tip

Start with a copy of your export files. Keep the original archive unchanged so you can retry processing, compare formats, or move the data to another tool later.

Interactive Map

Inspect recorded points, paths, stops, and place visits on a map interface. Zooming and panning help separate dense travel areas.

Calendar Filtering

Select a year and review location activity over a chosen period instead of loading every historical movement at once.

Privacy-Oriented Viewing

Browser-side visualization is designed to keep uploaded files on your device while the page is open.

The visualizer can reveal several types of information:

  • Travel patterns from commutes, road trips, walking routes, and international travel.
  • Place visits with arrival and departure details when those records exist.
  • Activity types such as walking, driving, cycling, and transit segments.
  • Year-by-year changes that show how daily movement patterns developed.
  • Forgotten memories involving restaurants, parks, neighborhoods, and other locations.

A practical entry point is the Google Timeline Visualizer, which provides a file-drop interface and explains how its local visualization process works.

CapabilityWhat You Can ReviewBest Use
Map viewPoints, routes, stops, and pathsExploring where you traveled
Year filterLocation activity by yearComparing different periods
Place detailsVisits and timing informationRecalling specific destinations
Activity segmentsWalking, driving, cycling, or transitUnderstanding how a trip unfolded
Multi-file loadingSeveral JSON exports togetherCombining older and newer archives

Google Timeline Export Formats Explained

Google Timeline data may appear in different JSON structures depending on how and when it was exported. Recognizing the file type helps you choose the right files and understand why one archive may contain more detail than another.

The visualizer can auto-detect the formats listed below. If you have files from different export methods, multiple files can be loaded together to create a broader view of your history.

Check Your Archive

Do not assume that one JSON file contains your entire history. Older exports may use monthly Semantic Location History files, while newer phone exports may use semantic segments and timeline paths.

File FormatTypical ContentsRelative SizeRecommended Handling
Records.jsonRaw GPS records in E7 coordinate formatUsually the largestKeep it with the archive and load it when detailed points matter
Semantic Location HistoryMonthly place visits, addresses, and activity segmentsSplit across many filesSelect the months or years you want to inspect
Phone Timeline ExportsemanticSegments and timeline paths from mobile exportsVaries by accountUse for newer Timeline backups
SettingsExport preferences and related metadataSmallRetain for archival reference
TimelineEditsCorrections and edit informationVariesKeep available when reviewing changed locations

Records.json

Records.json generally contains raw location pings and may be much larger than the other files. It is useful when you need granular movement data, but a large file may take longer for the browser to process. Loading only the required period can make the review more manageable if your export is divided into smaller files.

Semantic Location History

Semantic Location History files are commonly organized by month, such as a file representing a particular month in 2022. These files emphasize interpreted activity: places visited, addresses, and movement segments. They are often easier to inspect by date because the information is already grouped into time periods.

Phone Timeline Export

The newer phone-oriented format uses structures such as semanticSegments and timeline paths. It may be the most relevant format when exporting directly from the Google Maps app on Android or iOS in 2026. Keep the complete export folder structure when possible, because related metadata can help with interpretation.

Settings and TimelineEdits

Settings and TimelineEdits are supporting files rather than the main map dataset. They may contain preferences or corrections associated with the history. They are not always necessary for a quick visualization, but keeping them protects the context of your archive.

Step-by-Step Google Timeline Export Workflow

The most reliable workflow begins on the phone associated with the Google account that stored Timeline data. After exporting, move the JSON files to a computer and open them in a browser visualizer.

Account Reminder

Use the Google account connected to your location history. A different account may produce an empty export or a file set that does not match the places you expect.

1

Open Google Maps Settings

On your phone, open Google Maps and enter the settings area from your profile menu. Look for the Timeline or location-related settings used to manage your stored movement history.

2

Export Timeline Data

Choose the Timeline export option and save the generated JSON data. On Android, the option is located within the Timeline and location settings; on iOS, look under Personal Content and the Timeline export controls.

3

Preserve the Original Files

Copy the export to a computer or external drive without renaming individual JSON files unnecessarily. Make a backup before testing a visualizer or combining archives.

4

Open a Browser Visualizer

Visit the Google Timeline Visualizer and drop the relevant JSON files into the upload area. The tool can detect supported formats and process more than one file at a time.

5

Filter and Inspect the Map

Select a year, zoom into routes, open individual points, and review place visits or activity segments. Use the date controls to move from broad history to a specific day.

The export process may also be available through Google Takeout, depending on the account and the export options currently offered. Phone-based export is especially important when the web Timeline interface is unavailable or does not show older history.

Workflow StageActionResult
PrepareSign in to the correct accountMatches the account that recorded Timeline data
ExportUse Google Maps Timeline settingsCreates JSON location-history files
BackupCopy the archive before editingProtects the original data
LoadDrop one or more files into the visualizerBuilds a browser map from the export
ExploreFilter by year and inspect recordsReveals routes, places, and activity
Recommended Order

Export as soon as possible, create two backups, then test the smallest relevant file first. This makes troubleshooting easier than beginning with a very large archive.

Privacy, Performance, and Troubleshooting

Location history is sensitive because it can reveal routines, workplaces, homes, and travel. A privacy-oriented visualizer should therefore be evaluated by how it handles the files, not only by how attractive the map looks.

The referenced visualizer states that visualization occurs in the browser with JavaScript, meaning the files remain on the device during ordinary viewing. An optional account-saving action is different: choosing to save data to a cloud account uploads the file for that import process. Review that distinction before selecting any cloud-related option.

Privacy Check

Avoid loading personal location files on a shared or public computer. Close the browser tab when finished, and use the optional cloud import only when you understand where the data will be stored.

When the Map Is Empty

An empty map can result from several causes:

  • The export belongs to a different Google account.
  • The location file contains no usable records for the selected period.
  • Timeline or location history was not enabled when the activity occurred.
  • The wrong JSON file was selected.
  • A large file is still processing in the browser.

Confirm the file type, wait for processing to finish, and remove the year filter temporarily. If the archive includes monthly files, load several adjacent months to verify that the visualizer is reading the structure correctly.

When Processing Feels Slow

Large exports can contain hundreds of thousands of points. The reference material notes that files spanning more than 15 years and over 630,000 points have been tested, while a 170 MB file may require roughly 20–30 seconds on a modern computer. Actual performance depends on browser memory, file complexity, and other open tabs.

ProblemLikely CausePractical Fix
No locations appearWrong account or empty exportConfirm the account and inspect another file
Map remains loadingLarge file or busy browserWait, close other tabs, or load a smaller period
Missing older historyData was not backed upSearch local drives, cloud storage, and older Takeout archives
Incorrect placeAutomated location interpretationOpen the record and review or edit it where supported
Browser becomes unresponsiveToo many points at onceUse year-based files or process a smaller selection

Reviewing Incorrect Locations

Automated location records can contain inaccuracies. When a place or stop looks unfamiliar, open the point or visit details and use the available edit or removal controls. Treat the map as a record to review rather than an unquestionable account of every movement.

Best Ways to Explore Your Location History

A good visualization session moves from broad patterns to specific memories. Start with the year filter, identify a trip or routine, and then zoom into individual days. This approach prevents a dense multi-year map from becoming difficult to read.

Exploration Strategy

Use one question per session, such as “Which cities did I visit in 2022?” or “What route did I take during a specific trip?” Focused searches are faster and easier to verify.

Travel Patterns

Compare recurring routes, long-distance trips, and changes in movement between years.

Place Visits

Look for restaurants, parks, neighborhoods, and other destinations that may trigger forgotten memories.

Activity Types

Separate walking, driving, cycling, and transit segments when the export includes semantic activity data.

Daily Review

Choose a specific date to inspect stops, routes, and available timing details.

Use the following review sequence:

  1. Choose a year to reduce visual clutter.
  2. Locate a cluster of points that represents a trip, commute, or event.
  3. Zoom in until routes and stops become distinct.
  4. Open individual records to inspect timing, place names, or activity labels.
  5. Cross-check unusual entries against your own memories, photos, calendar, or travel documents.
Review GoalUseful FilterWhat to Look For
Find a forgotten tripYear and map regionClusters of distant place visits
Review a commuteSpecific date or monthRepeated routes and travel segments
Recall a restaurant visitPlace detailArrival time, departure time, and nearby stops
Compare routinesMultiple yearsChanges in route frequency or activity type
Verify an unusual pointIndividual recordAddress, timing, and surrounding movement

Creating a Personal Archive

For long-term access, keep the original export in a clearly labeled folder. A useful naming system can include the export year and account identifier without exposing sensitive information in the filename. Store one offline backup and one separate backup location where practical.

Do not edit the original JSON directly. If you need to remove private records before sharing a map or archive, work from a duplicate and document what was changed.

Google Timeline Visualizer Checklist:

  • Confirm the export uses the correct Google account
  • Create backups before uploading or editing files
  • Identify whether the archive uses Records.json or semantic files
  • Filter by year before reviewing dense location history
  • Close the browser session after inspecting sensitive data

Google Timeline Visualizer FAQ

Key Takeaway

A browser visualizer restores a practical web-based way to inspect exported Timeline data, but it cannot recreate files that were never backed up.

Q: What is a google timeline visualizer?

It is a browser tool that reads exported Google Timeline JSON files and displays location points, routes, place visits, activity segments, and time-based filters on an interactive map.

Q: How do I export Google Timeline data in 2026?

Open Google Maps on the phone connected to your Timeline account, enter the relevant Timeline or location settings, and choose the export option. Google Takeout may also provide an export path depending on the account and available options.

Q: Which files can the visualizer open?

Supported formats include Records.json, monthly Semantic Location History files, newer Phone Timeline Export files containing structures such as semanticSegments and timeline paths, plus related Settings and TimelineEdits metadata.

Q: Does the visualizer upload my location data?

The referenced tool states that ordinary visualization occurs in your browser and keeps files on your device. An optional save-to-account action is different because it uploads data to cloud storage for import, so review that choice carefully.