How to load data from Lokalise to Convex

Learn how to use Airbyte to synchronize your Lokalise data into Convex within minutes.

Building your pipeline or Using Airbyte

Airbyte is the only open source solution empowering data teams  to meet all their growing custom business demands in the new AI era.

Building in-house pipelines
Bespoke pipelines are:
  • Inconsistent and inaccurate data
  • Laborious and expensive
  • Brittle and inflexible
Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.
After Airbyte
Airbyte connections are:
  • Reliable and accurate
  • Extensible and scalable for all your needs
  • Deployed and governed your way
All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Lokalise connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Convex for your extracted Lokalise data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Lokalise to Convex in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Setup Complexities simplified!

You don’t need to put hours into figuring out how to use Airbyte to achieve your Data Engineering goals.

Simple & Easy to use Interface

Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.

Guided Tour: Assisting you in building connections

Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.

Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes

Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Raman Singh

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Learn more
Chase Zieman headshot

Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Learn more

Rupak Patel

Operational Intelligence Manager

"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."

Learn more

How to Sync to Manually

Step 1: Export Data from Lokalise

Begin by logging into your Lokalise account. Navigate to the project from which you want to export data. Use Lokalise’s export feature to download your data in a compatible format, such as JSON, CSV, or another format that meets your needs. Ensure that you structure your export to include only the necessary data fields required for your project in Convex.

Once you have your exported file, open it to review the content. Ensure that the data is correctly formatted and does not contain any errors. Clean up any unnecessary data fields that Convex will not use. This might involve using a text editor or spreadsheet software to adjust the file format to make it easier for import into Convex.

Before importing the data into Convex, map the data fields from the Lokalise export to the corresponding fields in Convex. Create a mapping document to identify how each field in your Lokalise data corresponds to fields in Convex. This step is crucial for ensuring that your data is correctly aligned during the import process.

Log into your Convex account and navigate to the database section where you intend to import the data. Ensure that you have the necessary permissions to add or modify data within the Convex database. Familiarize yourself with the database schema to ensure compatibility with the data from Lokalise.

Depending on the requirements of the Convex database, you may need to transform the data from the Lokalise export. This can involve converting data types, adjusting field names to match the Convex schema, or restructuring the data to fit the format that Convex expects. Use a programming language or script that you’re comfortable with to automate this transformation process if needed.

With the data prepared, use Convex’s import feature to upload your transformed data file. Follow the instructions provided by Convex to ensure the data is imported correctly. Pay attention to any error messages or warnings during the import process, and be prepared to make adjustments if the data does not import as expected.

After importing the data, perform a thorough check to ensure that all data has been transferred correctly. Compare key data points between the Lokalise export and the Convex database to verify accuracy. Look for any discrepancies or missing data, and make necessary corrections. It’s also a good practice to test the functionality of the imported data within Convex to ensure everything operates as expected.

By following these steps, you can manually move data from Lokalise to Convex without relying on third-party connectors or integrations.