Localization is a must if you want your content to be accessible to an international audience. Machine translation using machine learning offers high-quality translations for a fraction of the cost compared to professional human translators.

But how to translate your content without spending your time copy-pasting your text to Google Translate and back to your application?

CSV files are perfect to store structured data and are used by most applications to export your data into a generic format.

Product catalogs can be exported to CSV files. CMS articles can be extracted into flat files. CSV has become the de-facto format to share generic data between applications.

But you can't translate a CSV file as a simple text file. Some columns might be names, or dates and must be kept unchanged. How do you translate some columns from a CSV file?

In this guide, we’ll go through these steps:

Let's dive in.

Step 1: Import your CSV file

In this guide, all the work will be done online with Datablist CSV Viewer and Editor.

I will use a "Book Summaries" CSV file in this example. The demo CSV file is accessible here.

Start by creating a new collection. The collection will hold your CSV data. Click on the + button in the sidebar or the "Start with a CSV/Excel file" shortcut on the home page.

When using the "+" in the sidebar, select "Import CSV/Excel" to go to the CSV importer.

Create a new collection
Create a new collection

After loading your CSV file, Datablist lists the columns found. Every column is analyzed to detect its data type. On the column with your data to translate, select the "Long Text" data type if not already selected.

With "Long Text", you will have a better user experience managing your texts.

Select LongText for your text column to translate
Select LongText for your text column to translate

Review your data and import your CSV content into Datablist.

Step 2: Select the items to translate

Datablist offers "Actions" to interact with your data. You can enrich Facebook leads or clean email listings directly from your data. In this guide, you will use the Google Translate action to translate your CSV into another language.

Actions are visible once at least one item is selected.

Important - Actions are only available for registered users. Sign up for free to start translating your CSV files.

Select all items

To select all your collection items, click the "All" checkbox on the table header.

Select all items
Select all items

Select specific items

To translate only some of your items, click and move on the checkboxes while holding the click.

Select specific items

Step 3: Translate your CSV file

Two machine translation providers are available on Datablist: Google Translate and Deepl.

Translate using Google Translate

Select "Google Translate" in the listed actions to open the configuration drawer.

Select Google Translate Action
Select Google Translate Action

Before translating your text, fill out the configuration settings.

Configure Google Translate Action
Configure Google Translate Action
  • Source Language - Optional - If not defined, the source language will be auto-detected. If your texts are in different languages, keep the source language unselected.
  • Target Language - Mandatory - Select the target language. Language names are listed with English names. See supported languages.
  • Input Properties - Mandatory - The property (= CSV column) in your Datablist collection with the texts to translate. In this example, the book summaries are listed in the "Description" property. I select "Description". Important: Only Text/Long Text properties are translatable. Other data types are ignored.
  • Output(s) - Mandatory - Where will be saved the translated texts. Map the "Translated Text" output with one of the collection properties or click the + icon to create a new property in your collection. If your output property contains text, the item will be skipped and your text will NOT be overwritten.

Note - You must define an Output property to hold the translated texts. The output property cannot be the input property as it would overwrite its data. You will be able to manage your properties in the last step to have the desired column names.

Once configured, click "Run action" to translate your texts.

See the video for the full process

Translate using Deepl

Deepl is a machine translation service launched in 2017. Deepl is known for its accuracy compared to Google Translate. Under the hood, Deepl uses a different kind of neural network called convolutional neural networks (CNNs). This technology keeps the context as it processes long texts. So, Deepl is better suited for longer texts and Google Translate for texts with unrelated sentences.

To use Deepl, follow the same process as Google Translate but select the new Deepl action.

Deepl
Deepl

Step 4: Review your translations

Translated texts are saved in the "Translated Texts" output property.

Automatic translations are convenient but error-prone. A manual review of your translations is important. Check the translated texts to:

  • Find names and domain-specific vocabulary - Google might translate product names or technical words. Note: words beginning with a capital letter are usually not translated.
  • Review variable placeholders - If your texts are used for software applications, check variable placeholders that must not be translated.

To quickly read and edit your translated texts, press "Enter" on a cell to enter edit mode.

Review text in table
Review text in table

Or open the details drawer.

Review text with item details
Review text with item details

Step 5: Export your translations as CSV or Excel files

The final step is to export your data back to a file to reimport it into your application. See our documentation to export your data in CSV or Excel files.

Export collection
Export collection

To export your data with the same CSV columns as the imported file: edit your properties to match the original columns:

  1. Rename the source property and hide it.
  2. Rename the targeted property.

See the video below for a step-by-step guide.

Export data with original CSV columns

Everything you need to know about CSV file translations

Why use CSV files for bulk translations?

CSV is a format to store structured data using text files. In a CSV file, each line is a data record. And each record is made of fields separated by commas (or sometimes by semicolons ";" or tabular keys).

CSV files are a common way to transfer data between applications. Because it relies on text files, the CSV format is a simple way to export database or spreadsheet data. Any text editor can open it but you need a CSV editor to avoid errors when manipulating CSV files.

You can export your data in CSV in most applications, translate specific columns, and reimport the translated CSV file back into your application.

Any structured listings with text columns are perfect to be represented with CSV.

For example:

  • Translating a Product Catalog with text columns such as title and description
  • Translating blog articles using structured files with title and article content
  • Translating a list of User Reviews

How many translations can I perform for free?

Datablist uses Google Translate API and Deepl which have a cost. As much as we would like to offer this service for free, we have to set a limit for free translations.

Free users can translate up to 50 items per month for free. Upgrade to the Standard plan for unlimited translations.

Human translation vs machine translation

Machine translation is powered by automated software that translates source content into target languages. The best automatic translation providers use artificial intelligence and machine learning to offer high-quality translations.

Human translations by professional translators shine on complex texts. When the context is important, the text is long, and when vocabulary is technical or specific, machine translation is surpassed.

I like hybrid translation, combining machine translation with human review and rewrite. The hybrid translation is perfect for webpage internationalization.

What languages are supported?

Datablist relies on both Google Translate API and Deepl for automatic translations. The accepted languages for Google Translate are listed on this page. At the time of writing, 111 languages are available. Translations from and to any of the listed languages are possible.

Deepl supports fewer languages. Currently 28 languages are available.