How to Export Data From AI Continuous Glucose Monitors?

You wear a small sensor on your arm every day. It tracks your glucose levels 24 hours a day, 7 days a week. You get alerts, trends, and personalized insights. But one day you ask yourself: How do I get this data out of the app?

The good news is that every major AI CGM system offers at least one way to export your data. The less good news is that each brand does it differently. Some bury the export button deep in a web portal. Others email you a file link. A few offer direct CSV downloads from the app.

This post will walk you through every method, for every popular system. You will learn exactly where to click, what file types to expect, and what to do after you download your data. No guesswork. No filler. Just clear steps you can follow right now.

In a Nutshell

• Every AI CGM system supports data export, but the method varies by brand. Dexcom users go through the Clarity web portal. Abbott FreeStyle Libre users use LibreView. Lingo, Signos, and Levels offer in app or email export options.
• CSV is the universal file format for raw data export. You can open CSV files in Excel, Google Sheets, Apple Numbers, or any spreadsheet program. This format gives you full access to every timestamped glucose reading.
• PDF reports are best for sharing with doctors and clinics. PDF exports generate clean, formatted summaries that include AGP (Ambulatory Glucose Profile) charts, time in range percentages, and daily glucose patterns. These are ready for printing or emailing to your healthcare provider.
• Third party platforms like Nightscout, Tidepool, and Glooko offer advanced export and analysis options. These tools pull data from your CGM automatically and let you export in more flexible formats, often with richer metadata such as insulin, carbs, and exercise logs.
• You can export data on a schedule for ongoing analysis. Some platforms allow you to set up automatic daily or weekly exports. This helps if you track trends continuously or share data regularly with a care team.
• Always verify the date range and file integrity after exporting. A quick scan of the CSV or PDF ensures all your data came through correctly. Missing data often happens when the sensor has gaps in its recording or the sync was incomplete.

Why You Need to Export CGM Data in the First Place

AI continuous glucose monitors collect thousands of data points every week. The companion apps show you graphs, daily scores, and trend arrows. But the apps keep most of the raw data behind the scenes. Exporting puts you in control of your own health information.

One major reason is sharing data with your healthcare team. Your endocrinologist or dietitian needs the full picture, not just the highlights. A CSV file gives them 5-minute interval glucose readings for an entire month. A PDF report gives them the clinical summary they need to adjust your treatment plan.

Another reason is personal analysis. The default app dashboards are good, but they may not answer every question you have. You might want to compare your glucose response to two different breakfasts across 30 days. You might want to overlay glucose data with exercise logs or sleep data from another wearable. Raw data exports make all of this possible.

A third reason is data backup and portability. You might decide to switch from one CGM platform to another. Exporting your data before you switch ensures you keep your complete glucose history. It also protects you if a platform goes offline or changes its data retention policy.

Understanding the Types of CGM Export Files

Before you start clicking buttons, you should know what you will get. Most AI CGM systems offer two export formats. The first is CSV (Comma Separated Values) . This is raw, unformatted data. Each row shows a timestamp and a glucose value. You can open CSV files in any spreadsheet program. They are ideal for custom analysis, graphs, and long term record keeping.

The second format is PDF (Portable Document Format) . This is a formatted report with charts, summary statistics, and trend visualizations. PDF exports are printer friendly and perfect for sharing with doctors. They include metrics like time in range, average glucose, estimated A1C, and daily glucose profiles.

Some platforms also offer a third option: direct integration with health platforms. You can sync your CGM data to Apple Health or Google Health Connect. This is not a traditional export, but it does make your glucose data available to other apps automatically.

Pros of CSV exports: Full data access, flexible analysis, easy to store as backup, works with any spreadsheet tool, small file size.

Cons of CSV exports: Requires spreadsheet skills to interpret, no visual charts, can be overwhelming with thousands of rows of numbers.

Pros of PDF exports: Clinical ready formatting, includes professional charts, easy to share with doctors, no special software needed to view.

Cons of PDF exports: Cannot easily extract raw numbers for custom analysis, limited date ranges on some platforms, larger file sizes.

How to Export Data From Dexcom G6 and G7 Monitors

Dexcom is one of the most popular CGM systems on the market. Their data export path goes through Dexcom Clarity, a separate web portal and mobile app. You cannot export raw data directly from the Dexcom G6 or G7 mobile app. You must use Clarity.

Here is the step by step process:

First, open a web browser and visit clarity.dexcom.com. If you use a Stelo sensor, the same Clarity portal works for you. Log in with the same credentials you use for the Dexcom app.

Second, once you are logged in, look for the Reports page. You will see several report options: Overview, Patterns, Daily, and more. The export icon sits at the top of any Reports page. It looks like a small arrow pointing out of a box.

Third, click that export icon. A dialog box will appear asking you to choose a date range. You can select a preset range like 7, 14, 30, or 90 days. You can also choose a custom range.

Fourth, select your export format. Dexcom Clarity lets you export all reports as PDF files. For raw CSV data, look for the specific “Export” option under a patient name if you use the provider portal, or use the CSV download button on the web platform.

Fifth, save the file to your computer. The PDF file will open in a new browser tab. You can then print it or save it as a PDF from your browser’s print dialog. The CSV file will download directly to your downloads folder.

Pros of the Clarity method: Clean professional reports, easy to share with clinics via email, access to 90 days of data, works for all Dexcom sensors including G6, G7, and Stelo.

Cons of the Clarity method: Cannot export from the mobile app, requires an internet connection, no real time API access for personal users without developer approval.

How to Export Data From Abbott FreeStyle Libre 2 and Libre 3

Abbott FreeStyle Libre users face a slightly different path. The FreeStyle Libre 3 mobile app does not include a direct raw data export feature. Instead, Abbott routes all data exports through LibreView, a cloud based web platform.

Follow these steps to get your data:

First, go to libreview.com in a web browser. Create an account if you have not already done so. Use the same email address linked to your FreeStyle Libre app for the smoothest connection.

Second, your sensor data should automatically sync to LibreView when your phone connects to the internet. If data appears missing, open the Libre app and let it upload. Give it a few minutes to complete the sync.

Third, once in LibreView, find the glucose history page. You will see a “Download Glucose Data” button. Click it.

Fourth, select the date range you want. LibreView allows exports in date ranges that match the reports you view on screen.

Fifth, the system generates a CSV file that you can download. This file contains glucose readings at 5-minute intervals. Open it in Excel, Google Sheets, or any spreadsheet program.

Pros of the LibreView method: Works with Libre 2 and Libre 3, cloud storage keeps your data safe, simple interface for generating CSV files.

Cons of the LibreView method: Cannot download directly from the mobile app, CSV data comes in 5-minute intervals even though the sensor reads every minute, requires a separate LibreView account setup.

How to Export Data From Lingo by Abbott

Lingo is Abbott’s consumer focused glucose biosensor. It targets people without diabetes who want to understand their metabolic health. The export process for Lingo is built directly into the mobile app, which makes it one of the most straightforward options.

Here is how it works:

First, open the Lingo app on your phone. Go to your Profile page, which you reach by tapping the “You” tab at the bottom.

Second, scroll down the Profile page until you find the “Actions” section. Tap on “Export your glucose data.”

Third, on the next screen, tap “Export data.” The app generates a CSV file with all your historical glucose data from your first biosensor activation.

Fourth, tap “Download file.” Your phone will present save options. Choose “Save to Files” on iPhone or the equivalent file manager option on Android.

Fifth, you now have a CSV file on your device. You can view it with Apple Numbers, Google Sheets, Microsoft Excel, or any spreadsheet app. You can also email it, AirDrop it, or upload it to cloud storage.

A few things to note about Lingo exports: The file covers your entire history, not a specific date range. Glucose values display between 55 and 200 mg/dL. Values outside that range show as “out of range.” You can generate a new export file once per day. Each file is available for download for one month.

Pros of the Lingo in app method: Extremely simple, done entirely on the phone, no external website needed, immediate access to data.

Cons of the Lingo in app method: Cannot select custom date ranges, glucose range is capped at 55 to 200 mg/dL, no PDF report generation, new export limited to once per day.

How to Export Data From Signos

Signos is an AI powered CGM platform designed for weight management and metabolic health. The company uses Dexcom sensors but layers its own AI analysis and recommendations on top. The export method is different from the standard Dexcom path.

Here are the steps:

First, open the Signos mobile app. Navigate to the Settings menu. Look for the “Export Data” option under the General category.

Second, make sure you are on the Email tab. Tap the “Export Now” button. Signos automatically sends the export to the email address registered with your account.

Third, check your email inbox. You should receive a message from Signos within a few minutes. The email contains a download link.

Fourth, click the link in the email. Signos provides your data in two formats: CSV for spreadsheet work and PDF for clinical review and printing.

Fifth, download both files and save them to your preferred location. The CSV file includes glucose readings, activity logs, and zone scores. The PDF file presents a clean, shareable report.

Pros of the Signos email method: Dual format delivery (CSV and PDF), includes all activity and glucose data, simple two step process, no external web portal required.

Cons of the Signos email method: Requires email access, slight delay between request and delivery, cannot set custom date ranges within the in app export.

How to Export Data From Levels Health

Levels Health is another AI driven metabolic health platform. It combines CGM data with food logging and lifestyle scoring. The export process happens through the Levels member portal on the web.

Follow these steps:

First, log into the Levels member portal at app.levels.com using your account credentials.

Second, under Account Settings on the left sidebar, find and click “Export Data.”

Third, you will see a list of data categories you can export. These include Glucose and CGM data, Activity logs, Zones (with Zone Scores and Glucose Response), and Nutrition logs.

Fourth, select the categories you want. Each one exports as a separate CSV file. You can download all of them or pick just the ones you need.

Fifth, the CSV files download directly to your computer. Open them in any spreadsheet program for analysis.

Pros of the Levels portal method: Granular data categories, includes nutrition and zone scores alongside glucose data, CSV format is clean and well structured, all exports from one page.

Cons of the Levels portal method: Web only, no mobile app export, no built in PDF report generation, requires remembering login credentials.

Using Third Party Platforms for CGM Data Export

Sometimes the built in export tools do not offer enough flexibility. Third party platforms fill this gap. They connect to your CGM, aggregate data from multiple sources, and provide powerful export and analysis features.

Tidepool

Tidepool is a free, open access platform that aggregates data from over 50 diabetes devices. It supports Dexcom, Abbott, Medtronic, and many other CGM and pump brands.

To export from Tidepool, first create a free account at tidepool.org. Download the Tidepool Uploader application to your computer. Connect your CGM receiver or upload from your linked cloud account. Once your data loads, click the Print button in the upper right corner. Tidepool generates a comprehensive PDF report that includes AGP charts, Basics summaries, Daily views, and Device Settings. You can customize the date range for each report section, selecting anywhere from 7 to 90 days. Save the PDF from your browser’s print dialog.

Pros of Tidepool: Free to use, supports many devices, professional quality PDF reports, customizable date ranges, excellent for clinic visits.

Cons of Tidepool: No direct CSV export for raw data, requires a computer for the Uploader app, setup takes some time.

Glooko

Glooko is a diabetes data management platform used by both patients and healthcare providers. It syncs data from CGMs, blood glucose meters, insulin pumps, and fitness trackers.

To export a CSV from Glooko, log into your account at my.glooko.com. Look for the “Export to CSV” option in the header menu. A date selector appears; choose from 1 day, 1 week, 2 weeks, 30 days, 90 days, or a custom 90 day range. Click Export. Glooko compiles a ZIP folder with separate CSV files for alarms, blood glucose readings, carbs, insulin, and manually entered data. Each file includes the patient name, date range, and device serial number.

Pros of Glooko: Complete data export across all connected devices, structured ZIP file with categorized CSVs, works for both personal and provider accounts.

Cons of Glooko: Export feature is web only, not available in the mobile app, custom ranges limited to 90 days, requires recent device sync for complete data.

Nightscout

Nightscout (CGMin the Cloud) is an open source platform for real time CGM data visualization and storage. It offers powerful data export options for technically inclined users.

Setting up Nightscout requires some technical effort. You either build a DIY site using a cloud hosting provider or pay a managed service like T1Pal or NS10BE for a ready made solution. Once your Nightscout site is running, an uploader app like xDrip+ or Spike sends CGM data from your phone to the cloud.

To export data from Nightscout, you can use the built in CSV export endpoints. The platform serves data through API calls that return JSON or CSV formatted readings. Developers and advanced users can pull specific date ranges, fields, and data types. There are also browser based export tools that let you download all your historical readings in seconds.

Pros of Nightscout: Full control over your data, real time access, API for custom integrations, community supported, stores unlimited history.

Cons of Nightscout: Steep learning curve for setup, requires ongoing maintenance for DIY users, no official tech support, not FDA regulated.

Exporting CGM Data to Apple Health and Google Health Connect

Many AI CGM systems now offer direct integration with smartphone health platforms. This method automatically syncs your glucose data to Apple Health on iOS or Health Connect on Android.

For Dexcom users, open the Dexcom app menu. Go to Settings, then Health. Tap Enable to share. Turn on the Blood Glucose switch and tap Done. Your CGM readings will appear in Apple Health within minutes.

For Lingo users, Lingo allows manual upload of historic glucose data to Apple Health. Go to your Profile page, find the Apple Health integration section, and follow the on screen prompts.

For FreeStyle Libre users, the integration path is less direct. You may need to use a third party bridge app, as the native Libre app has limited Health app connectivity in some regions.

The benefit of this method is automation. Once you enable sharing, you never have to export again. Every other app that reads from Apple Health or Health Connect can access your glucose data. You can view glucose alongside steps, sleep, workouts, and heart rate in a single dashboard.

Pros of Health platform integration: Automatic and continuous sync, combines glucose with other health data, no manual export steps needed, data stays on your device.

Cons of Health platform integration: Limited to apps that read from these platforms, no historical bulk export, does not include insulin or carb data from the CGM itself, platform dependent if you switch between iOS and Android.

How to Use Your Exported CGM Data Effectively

Getting a CSV file full of numbers is just the first step. The real value comes when you turn those numbers into insights.

Start by opening the CSV in a spreadsheet program. The first thing you should do is check the data quality. Look at the timestamps and make sure they cover the full period you expect. Check for gaps. Gaps happen when the sensor loses connection or when the phone is off. Note these gaps so you do not draw wrong conclusions from incomplete data.

Next, organize the data. Most CSV exports from CGM platforms come with columns for timestamp, glucose value, and sometimes event markers like meals or exercise. Sort the data by date and time. Create separate tabs for different weeks or months if you are analyzing a long period.

Then, create some basic statistics. Calculate your average glucose over the period. Count how many readings fall in your target range. Calculate the percentage of time you spend in range. These numbers often match what the app tells you, but verifying them yourself confirms the data is accurate and complete.

Finally, visualize the data. A line graph of glucose over time reveals patterns that a table of numbers hides. Overlay meal times as vertical lines to see post meal glucose responses clearly. Compare weekday versus weekend glucose curves. These custom visualizations often reveal insights that the default app dashboards miss.

Common Problems When Exporting CGM Data and How to Fix Them

Exporting data does not always go smoothly. Here are the most frequent issues and their solutions.

Problem 1: The export button does not appear. This often means your device has not synced recently. Open your CGM app and let it complete a full data upload to the cloud. Wait 5 to 10 minutes and try again.

Problem 2: The CSV file has gaps in the date range. CGM sensors record data every 1 to 5 minutes. If your phone lost Bluetooth connection with the sensor for a period, those readings are permanently lost. The sensor stores some data internally, typically 3 to 8 hours, but longer gaps cannot be recovered.

Problem 3: The exported CSV shows “out of range” or “low/high” instead of numbers. Some platforms cap the visible and exportable glucose range. Lingo, for example, only displays and exports values between 55 and 200 mg/dL. If your glucose frequently goes outside this range, you may need a different CGM system.

Problem 4: The export file is too large to open. A single month of 5 minute interval data contains roughly 8,640 rows. This is manageable in most spreadsheet programs. But a full year contains over 100,000 rows. If your spreadsheet lags, try splitting the data into monthly chunks or use a database tool like Google BigQuery.

Problem 5: The export email never arrives. Check your spam or promotions folder. Some email providers filter automated data export emails. Add the platform’s email address to your contacts to prevent this. If the email still does not come, contact the platform’s support team. They can usually trigger a new export manually.

Comparing Export Methods Across Popular AI CGM Systems

Different CGM systems handle data export differently. This summary helps you pick the approach that matches your needs.

Dexcom (G6, G7, Stelo): Web portal based export via Dexcom Clarity. You get professional PDF reports and raw CSV data. Best for clinical sharing.

Abbott FreeStyle Libre (2, 3): Web portal based export via LibreView. You get CSV files with 5 minute interval data. No direct mobile app export.

Lingo: Direct in app export to CSV. Simple but limited to full history downloads with a capped glucose range.

Signos: Email based export. You get both CSV and PDF files sent to your inbox.

Levels: Web portal based export with separate CSV downloads for glucose, activity, zones, and nutrition data.

Tidepool: Free aggregator that generates polished PDF reports from multiple device brands.

Glooko: Web based CSV export with detailed categorized data files in ZIP format.

Nightscout: Open source DIY platform with API based export and real time cloud access.

How to Build a Long Term CGM Data Archive

Regularly exporting your CGM data creates a valuable personal health archive. Here is a simple system for maintaining your data over time.

Set a recurring calendar reminder. Choose a frequency that matches your needs. Every 30 days works well for most people. This aligns with sensor changes and gives you manageable file sizes.

Create a folder structure on your computer or cloud drive. Name folders by year and month. Save each export with a filename that includes the date range, such as “CGM_Data_May2026.csv.”

Back up your exports to at least two locations. Keep a local copy on your computer and a cloud copy on Google Drive, iCloud, or Dropbox. This protects you against hardware failure.

Maintain a simple text document or spreadsheet that tracks your export history. Note the date of each export, the date range covered, the platform used, and any data gaps you noticed. This log becomes invaluable if you ever need to reconstruct your full glucose history.

Open your archive once every quarter and look for long term trends. Has your average glucose changed over six months? Has your time in range improved? These long term views provide the most meaningful insights about your metabolic health.

Staying Safe With Your Exported Glucose Data

Your CGM data contains sensitive health information. Treat exported files with the same care you give to any medical record.

Never store unencrypted CGM CSV files on shared or public computers. If you must use a shared device, delete the files immediately after use and clear the recycle bin.

Use a password protected ZIP file when emailing CGM data to your doctor. Most spreadsheet programs allow you to save or export with password protection. Send the password through a separate channel, like a phone call or text message.

Be cautious with third party platforms. Before connecting your CGM account to any third party service, read their privacy policy. Understand what data they access, how they store it, and whether they share it with anyone else. Platforms like Tidepool and Glooko are HIPAA compliant and well established in the diabetes community. Smaller or newer services may not have the same level of data protection.

Delete old exports you no longer need. The less sensitive data sitting on your devices, the lower your risk from a potential security breach. If you archive everything in encrypted cloud storage, you can safely remove the local copies.

Choosing the Right Export Method for Your Situation

Your choice of export method depends on three things: your CGM brand, your technical comfort level, and your end goal.

If you just need a report for your next doctor visit, use your CGM’s built in PDF export. Dexcom Clarity reports are perfect for endocrinology appointments. Tidepool reports work well for diabetes educators and nutritionists. These PDFs include all the clinical metrics a provider needs to evaluate your therapy.

If you want to do your own analysis, export the raw CSV from your platform’s portal. Dexcom Clarity CSV, LibreView CSV, or Levels CSV all give you the full data table. Learn basic spreadsheet skills and you will discover patterns that no app will show you.

If you want ongoing, automated data collection, set up Apple Health or Health Connect integration. Combine this with a third party app that reads from the health platform. This approach reduces manual work to zero once configured.

If you are technically skilled, consider building a Nightscout instance. The API access and real time data streaming open up possibilities for custom dashboards, automated reports, and integration with other personal data sources.

FAQs

Can I export CGM data without an internet connection?

Most CGM export methods require an internet connection at some point. Your sensor sends data to your phone via Bluetooth, which does not need internet. But the export step usually happens through a cloud portal or email delivery system that needs Wi-Fi or cellular data. Dexcom Clarity, LibreView, and Glooko are all web based. Lingo generates the export file on your phone without internet, but the data originally synced to your phone when you had a connection.

Why does my CSV file only show readings every 5 minutes instead of every minute?

CGM sensors typically measure glucose every 1 to 5 minutes internally. However, most export platforms provide data at 5 minute intervals to keep file sizes manageable. FreeStyle Libre sensors read every minute but LibreView exports provide 5 minute increments. Dexcom exports also use 5 minute intervals on Clarity. This resolution is sufficient for clinical decision making and most personal analysis purposes.

Will exporting my data delete it from the app?

No. Exporting creates a copy of your data. Your original data stays in the app and in the cloud platform. Your sensor history remains intact. You can export as many times as the platform allows, typically once per day for most systems.

Can I export data from a sensor I already removed?

Yes, as long as the data synced to the cloud before you removed the sensor. CGM sensors store a limited amount of data internally, usually 3 to 8 hours. If your phone was connected and uploading regularly, all historical data from that sensor is available for export through the cloud portal. If you never synced the sensor, data older than the internal storage period is lost.

What should I do if my doctor cannot open the file I sent?

First, confirm the file format. Most clinics can open PDF files without any special software. If you sent a CSV, ask if they have Excel or Google Sheets. If not, convert the CSV to PDF using your spreadsheet program and resend it. For large CSV files, try sharing a Google Sheets link instead of an attachment. This lets your doctor view the data in a browser without downloading anything.

Is it safe to use third party platforms like Nightscout with my CGM data?

Nightscout is an open source community project. It is not FDA approved or regulated for medical use. The platform puts data security and access control in your hands. You should never rely on Nightscout as your only glucose monitoring method. Always maintain a backup way to check your glucose levels. For managed Nightscout services like T1Pal or NS10BE, review their security and privacy practices before subscribing. For clinical use, stick with platforms that have regulatory clearances, such as Tidepool or Glooko.