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Googlelanguager

Googlelanguager is an R client library that exposes Google Cloud translation, natural-language, speech-to-text and text-to-speech APIs to R code through package functions.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Googlelanguager — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an R workflow needs to call one or more of the Google Cloud language and speech APIs, particularly when combining analysis, translation or speech processing.

Who it is for

  • R developers integrating Google Cloud language services into applications or workflows.
  • Researchers and business analysts scaling text analysis in R.

Documented uses

  • Translate text through Google Cloud from an R application.
  • Analyze text for entities, syntax and sentiment.
  • Convert speech to text or generate speech from text in an R workflow.
Before you choose

Requirements & limits

The package can be installed from CRAN or GitHub. Its README says the Google Cloud services are paid and require a payment method on the user's Google project.

  • The client is designed for R and wraps four Google Cloud API families.
  • A Google Cloud project, enabled APIs and service-account JSON credentials are part of setup.
  • Google Cloud service use is paid; costs are not specified in the available project documentation.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Google Cloud access for googleLanguageR

Prepare an R installation to authenticate with the Google Cloud APIs used by the package.

Before you start

  • An R environment
  • A Google Cloud project
  • A payment method added to the project
  • A service-account JSON credential

Steps

  1. Create a Google API Console project and add a payment method.

  2. Enable the Google Cloud APIs required for the intended task.

  3. Create a service account and generate its JSON credential file.

  4. Install the package with install.packages("googleLanguageR") or remotes::install_github("ropensci/googleLanguageR").

  5. Set GL_AUTH to the credential file location in an R environment file, or authenticate with gl_auth() using that file.

Expected outcome

The package is installed and configured to authenticate for subsequent API calls from R.

Guide limitations

  • The Google Cloud services are paid and require a payment method on the project.
  • This setup does not cover making or validating an API request.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
18 October 2026
Original website title
ropensci/googleLanguageR · Official homepage title · retained in its source language
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