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Localazy
Freemium
Translation management platform that automates software and content localization for dev teams, with 50+ format and tool integrations.
159K visits/mo
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Opera One Browser
✓ verifiedFree
Free Chromium-based desktop browser with tab grouping, built-in AI, free VPN, ad blocker and sidebar apps.
Pricing
Free: $0
Professional: from $34/mo
Autopilot: from $78/mo
Business: from $175/mo
Free trial available
No public pricing
No public pricing
No public pricing
No public pricing
Core features
- ✦Translation Management
- ✦Context Screenshots
- ✦Translation Glossary
- ✦Quality Control
- ✦Connected Projects
- ✦Plural Handling
- ✦Professional Translations
- ✦Crowdsourced Translations
- ✦Translation Interface
- ✦Machine Translations
- ✦Tab Islands for organizing tabs into groups
- ✦Built-in Opera AI assistant with page context
- ✦Free VPN and ad blocker
- ✦Modular sidebar with apps and messengers
- ✦Split-screen browsing and immersive themes
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Zero-ETL data integration
- ✦Federated Query
- ✦Streaming Ingestion
- ✦Instant Replication with CDC
- ✦API to SQL conversion
- ✦NoSQL to SQL conversion
- ✦SQL to API conversion
- ✦Self-service Integration
- ✦Generate SQL with AI
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Use cases
- →Software Localization
- →Content Localization
- →Design Localization
- →Translate Product Feeds
- →Translate Shopify Store
- →Translate Websites
- →E-Learning Localization
- →Browsing with organized tab groups
- →Using AI assistance while browsing
- →Protecting privacy with a free VPN
- →Multitasking with sidebar apps and split screen
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Query data directly from its source in real-time.
- →Process data wherever it is, blending data from different sources.
- →Ingest streaming data from Kafka, Segment, etc., into Peaka BI Table.
- →Replace nightly batch ingestion with real-time data access.
- →Treat every data source like a relational database by converting APIs to tables.
- →Use SQL to query NoSQL databases.
- →Query consolidated data and expose it with APIs.
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