tilebox · snamber · Feb 11, 2026 · Feb 11, 2026
diff --git a/changelog.mdx b/changelog.mdx
@@ -1,6 +1,6 @@
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 title: Product Updates
-description: Stay up to date with the latest Tilebox product updates, new features, platform improvements, and enhancements across datasets, workflows, and the console.
+description: A chronological record of new features, improvements, and other notable changes shipped across the Tilebox platform. Updated regularly with each new release.
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diff --git a/console.mdx b/console.mdx
@@ -1,6 +1,6 @@
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 title: Console
-description: Use the Tilebox Console web app to explore datasets and workflows, manage API keys, invite team collaborators, and monitor your platform usage in one place.
+description: A web interface for exploring your datasets and workflows, managing API keys and team members, and keeping track of your usage of the Tilebox platform.
 icon: terminal
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diff --git a/datasets/concepts/collections.mdx b/datasets/concepts/collections.mdx
@@ -1,6 +1,6 @@
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 title: Collections
-description: Learn how Tilebox dataset collections organize data points into logical groups that are commonly queried together, such as groupings by satellite or instrument.
+description: Collections organize data points within a dataset into logical groups that are commonly queried together, such as groupings by satellite or instrument.
 icon: layer-group
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diff --git a/datasets/concepts/datasets.mdx b/datasets/concepts/datasets.mdx
@@ -1,6 +1,6 @@
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 title: Datasets
-description: Tilebox Datasets are typed containers where every data point shares the same fields. Learn how to create, list, and access datasets via the SDK or Console.
+description: Datasets are strongly typed containers in which every data point within a collection shares the same structure, ensuring consistent and reliable data access.
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diff --git a/datasets/delete.mdx b/datasets/delete.mdx
@@ -1,7 +1,7 @@
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 title: Deleting Data
 sidebarTitle: Delete
-description: Delete data points from Tilebox dataset collections by ID or by time range using the Python and Go SDKs. Manage and clean up satellite metadata easily.
+description: Remove individual datapoints from a dataset collection by specifying their unique identifiers, or delete many at once by selecting an entire time range.
 icon: trash-can
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diff --git a/datasets/geometries.mdx b/datasets/geometries.mdx
@@ -1,7 +1,7 @@
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 title: Working with Geometries
 sidebarTitle: Geometries
-description: Learn best practices for working with geometries in Tilebox, including correct winding order, antimeridian crossing, pole coverage, and reference systems.
+description: Best practices for handling geometries in Tilebox, covering winding order conventions and reference systems as well as edge cases like antimeridian crossings.
 icon: draw-polygon
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diff --git a/datasets/ingest.mdx b/datasets/ingest.mdx
@@ -1,7 +1,7 @@
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 title: Ingesting Data
 sidebarTitle: Ingest
-description: Ingest data into Tilebox datasets using the Python and Go SDKs. Explore dataset schemas, DataFrames, xarray integration, and efficient batch ingestion.
+description: Populate your dataset collections by defining schemas, preparing structured data points, and submitting them efficiently to Tilebox for storage and querying.
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diff --git a/datasets/introduction.mdx b/datasets/introduction.mdx
@@ -1,7 +1,7 @@
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 title: Tilebox Datasets
 sidebarTitle: Introduction
-description: Tilebox Datasets ingests and structures satellite metadata for high-performance querying. Create custom datasets or explore curated open data catalogs.
+description: A high-performance platform for structuring and querying satellite metadata, with curated open data catalogs and support for custom dataset collections.
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diff --git a/datasets/open-data.mdx b/datasets/open-data.mdx
@@ -1,6 +1,6 @@
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 title: Open Data
-description: Discover public open datasets in Tilebox from providers like Copernicus, USGS, ESA, and ASF, including Sentinel, Landsat, and other satellite missions.
+description: Browse the public satellite datasets available in Tilebox, ready to use for prototyping and building your applications before your own data is available.
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diff --git a/datasets/query/filter-by-id.mdx b/datasets/query/filter-by-id.mdx
@@ -1,7 +1,7 @@
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 title: Querying individual datapoints by ID
 sidebarTitle: Filter by ID
-description: Query individual datapoints by their unique UUID using Collection.find in Python or Datapoints.GetInto in Go with the Tilebox datasets querying API.
+description: Look up specific datapoints from a dataset collection by providing their unique identifiers, without needing to construct and execute a broader query.
 icon: fingerprint
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diff --git a/datasets/query/filter-by-location.mdx b/datasets/query/filter-by-location.mdx
@@ -1,7 +1,7 @@
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 title: Filtering by a location
 sidebarTitle: Filter by location
-description: Filter query results by geographic area of interest using Polygon and MultiPolygon geometries with coordinate reference systems in Tilebox datasets.
+description: Narrow down your query results to only include datapoints within a specific geographic area of interest by providing a geometry for the target region.
 icon: globe-pointer
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diff --git a/datasets/query/filter-by-time.mdx b/datasets/query/filter-by-time.mdx
@@ -1,7 +1,7 @@
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 title: Querying by temporal extent
 sidebarTitle: Filter by time
-description: Run time-based queries for datapoints using time intervals, time scalars, and open-ended ranges for timeseries and spatio-temporal Tilebox datasets.
+description: Retrieve datapoints that fall within a given time period, with support for precise time intervals, open-ended time ranges, and exact timestamp lookups.
 icon: timeline
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diff --git a/datasets/query/querying-data.mdx b/datasets/query/querying-data.mdx
@@ -1,7 +1,7 @@
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 title: Querying data
 sidebarTitle: Querying data
-description: Query and load data from Tilebox dataset collections using a powerful API with time-based filtering, spatial filtering, pagination, and progress tracking.
+description: Access and filter data stored in your dataset collections using time-based and spatial queries, with built-in support for pagination and progress tracking.
 icon: magnifying-glass
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diff --git a/datasets/types/spatiotemporal.mdx b/datasets/types/spatiotemporal.mdx
@@ -1,6 +1,6 @@
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 title: Spatio-temporal
-description: Explore spatio-temporal datasets in Tilebox that link data points to specific timestamps and Earth locations, with spatial queries and auto-generated IDs.
+description: Spatio-temporal datasets associate each data point with both a timestamp and a geographic location on Earth, enabling queries that span time and space.
 icon: earth-europe
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diff --git a/datasets/types/timeseries.mdx b/datasets/types/timeseries.mdx
@@ -1,6 +1,6 @@
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 title: Timeseries
-description: Explore timeseries datasets in Tilebox that link data points to specific timestamps, with auto-generated UUIDs, time-based queries, and custom fields.
+description: Timeseries datasets associate each data point with a specific timestamp, making them well suited for organizing and querying time-ordered observations.
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diff --git a/guides/datasets/access-sentinel2-data.mdx b/guides/datasets/access-sentinel2-data.mdx
@@ -1,6 +1,6 @@
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 title: Access Sentinel-2 data
-description: Step-by-step guide to querying Sentinel-2A Level 2A satellite imagery metadata with the Tilebox Python SDK, with filtering by geographic area and time.
+description: Query Sentinel-2 satellite imagery metadata from a Tilebox dataset, filtering results by geographic area and time range to find exactly the data you need.
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diff --git a/guides/datasets/create.mdx b/guides/datasets/create.mdx
@@ -1,6 +1,6 @@
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 title: Creating a dataset
-description: Learn how to create a custom dataset in the Tilebox Console, including choosing a dataset kind, defining your own schema fields, and organizing groups.
+description: Walk through creating a custom dataset in the Tilebox Console, from choosing the right dataset kind to defining your schema fields and organizing groups.
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diff --git a/guides/datasets/ingest-format.mdx b/guides/datasets/ingest-format.mdx
@@ -1,6 +1,6 @@
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 title: Ingesting from common file formats
-description: Learn how to ingest data from CSV, Parquet, NetCDF, GeoJSON, and GeoParquet file formats into Tilebox datasets using the Python SDK with pandas or xarray.
+description: Convert data from common geospatial and tabular file formats into Tilebox datasets by loading them as DataFrames or xarray Datasets and ingesting directly.
 icon: file-binary
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diff --git a/guides/datasets/ingest.mdx b/guides/datasets/ingest.mdx
@@ -1,6 +1,6 @@
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 title: Ingesting data
-description: Complete tutorial for ingesting GeoParquet data into a Tilebox timeseries dataset, including downloading source files, creating datasets, and previewing.
+description: Walk through the full process of ingesting GeoParquet data into a Tilebox timeseries dataset, from downloading source files to previewing the results.
 icon: up-from-bracket
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diff --git a/guides/workflows/multi-language.mdx b/guides/workflows/multi-language.mdx
@@ -1,6 +1,6 @@
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 title: Multi-language Workflows
-description: Build multi-language workflows with Tilebox by combining Python and Go tasks. Prototype rapidly in Python and migrate compute-heavy steps to Go seamlessly.
+description: Combine tasks written in different programming languages within a single workflow, letting you choose the best language for each individual processing step.
 icon: diagram-project
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diff --git a/sdks/go/examples.mdx b/sdks/go/examples.mdx
@@ -1,6 +1,6 @@
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 title: Examples
-description: Explore standalone Go SDK examples for Tilebox workflows and datasets, including hello world, protobuf serialization, observability, and data ingestion.
+description: Get started quickly with standalone, runnable examples that demonstrate common patterns for building workflows and accessing datasets with the Go SDK.
 icon: notebook
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diff --git a/sdks/go/install.mdx b/sdks/go/install.mdx
@@ -1,6 +1,6 @@
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 title: Installation
-description: Install the Tilebox Go SDK and the tilebox-generate CLI tool to access and manage Tilebox datasets and run workflows from your Go applications and services.
+description: Install and set up the Tilebox Go SDK and its companion code generation tool to start building workflows and accessing datasets from your applications.
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diff --git a/sdks/go/protobuf.mdx b/sdks/go/protobuf.mdx
@@ -1,6 +1,6 @@
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 title: Protobuf
-description: Learn how to use Protocol Buffers with the Tilebox Go SDK, generate typed dataset structs using tilebox-generate, and serialize data in your applications.
+description: Understand how Protocol Buffers provide strongly typed data structures for working with Tilebox datasets in Go, and how to generate them for your projects.
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diff --git a/sdks/introduction.mdx b/sdks/introduction.mdx
@@ -1,7 +1,7 @@
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 title: Tilebox languages and SDKs
 sidebarTitle: Overview
-description: Explore the available Tilebox language SDKs for Python and Go. Access datasets, manage storage, and orchestrate workflows with your preferred language.
+description: Official SDKs for Python and Go that provide full access to Tilebox datasets, storage, and workflow orchestration in your preferred programming language.
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diff --git a/sdks/python/async.mdx b/sdks/python/async.mdx
@@ -1,6 +1,6 @@
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 title: Async support
-description: Learn how to use async support in the Tilebox Python SDK with asyncio. Easily switch from sync to async clients and load data in parallel with coroutines.
+description: The Tilebox Python SDK offers full async support with asyncio, allowing you to run data operations in parallel for significantly better performance.
 icon: rotate
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diff --git a/sdks/python/install.mdx b/sdks/python/install.mdx
@@ -1,6 +1,6 @@
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 title: Installation
-description: Install the Tilebox Python SDK packages for datasets, workflows, and storage using uv, pip, poetry, or pipenv. Includes JupyterLab setup instructions.
+description: Install the Tilebox Python SDK packages using your preferred package manager to start working with datasets, workflows, and satellite data storage.
 icon: download
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diff --git a/sdks/python/sample-notebooks.mdx b/sdks/python/sample-notebooks.mdx
@@ -1,6 +1,6 @@
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 title: Sample notebooks
-description: Explore sample Jupyter notebooks for ERS, Sentinel-5P Tropomi, MODIS data ingestion, and Sentinel-2 cloud-free mosaics. Run them directly on Google Colab.
+description: Get started quickly with ready-to-run Jupyter notebooks that demonstrate common satellite data access and analysis workflows using the Tilebox Python SDK.
 icon: notebook
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diff --git a/sdks/python/xarray.mdx b/sdks/python/xarray.mdx
@@ -1,6 +1,6 @@
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 title: Xarray
-description: Discover how Tilebox uses Xarray for multi-dimensional labeled arrays to access and analyze satellite data. Explore key data structures and operations.
+description: Tilebox uses Xarray as its primary data structure for representing and analyzing multi-dimensional satellite data with labeled dimensions and coordinates.
 icon: chart-bar
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diff --git a/storage/clients.mdx b/storage/clients.mdx
@@ -1,6 +1,6 @@
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 title: Storage Clients
-description: Access open satellite data from Copernicus Data Space, ASF, and USGS with Tilebox Python SDK storage clients. Seamlessly retrieve and process satellite data.
+description: Configure and use storage clients in the Tilebox Python SDK to download satellite data products from supported public providers for local processing.
 icon: hard-drive
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diff --git a/workflows/near-real-time/automations.mdx b/workflows/near-real-time/automations.mdx
@@ -1,6 +1,6 @@
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 title: Automations
-description: Automate near-real-time data processing by triggering workflow jobs from external events like cron schedules and storage events with the Tilebox Python SDK.
+description: Trigger workflow jobs automatically in response to external events such as schedules or file changes, enabling near-real-time data processing pipelines.
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diff --git a/workflows/near-real-time/cron.mdx b/workflows/near-real-time/cron.mdx
@@ -1,6 +1,6 @@
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 title: Cron triggers
-description: Create and manage cron triggers to schedule recurring workflow jobs in Tilebox. Register cron automations and define tasks using the Python SDK client.
+description: Schedule recurring workflow jobs using cron expressions so that tasks run automatically at defined intervals, without requiring manual job submission.
 icon: clock
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diff --git a/workflows/near-real-time/storage-events.mdx b/workflows/near-real-time/storage-events.mdx
@@ -1,6 +1,6 @@
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 title: Storage Event Triggers
-description: Trigger workflow jobs automatically when objects are created or modified in GCS, Amazon S3, or local file systems using Tilebox storage event automations.
+description: Trigger workflow jobs automatically whenever new objects are created or modified in a storage bucket, enabling event-driven data processing pipelines.
 icon: right-to-line
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diff --git a/workflows/observability/logging.mdx b/workflows/observability/logging.mdx
@@ -1,6 +1,6 @@
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 title: Logging
-description: Configure distributed logging for Tilebox Workflows using OpenTelemetry. Collect and visualize centralized logs with backends like Axiom, Jaeger, or OTLP.
+description: Collect logs from distributed task runners into a centralized observability backend so you can search and correlate them across your workflow cluster.
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diff --git a/workflows/observability/open-telemetry.mdx b/workflows/observability/open-telemetry.mdx
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 title: OpenTelemetry Integration
 sidebarTitle: OpenTelemetry
-description: Integrate OpenTelemetry into Tilebox Workflows for distributed tracing and logging. Connect to observability backends like Axiom and Jaeger for monitoring.
+description: Gain full visibility into your workflow execution by integrating OpenTelemetry for distributed tracing and structured logging across your task runners.
 icon: telescope
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diff --git a/workflows/observability/tracing.mdx b/workflows/observability/tracing.mdx
@@ -1,6 +1,6 @@
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 title: Tracing
-description: Monitor workflow job execution with OpenTelemetry traces and spans. Visualize task ordering, parallelism, and duration using backends like Axiom or Jaeger.
+description: Record and visualize workflow job execution as structured traces to understand task ordering, parallelism, and duration across distributed task runners.
 icon: chart-gantt
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diff --git a/workflows/progress.mdx b/workflows/progress.mdx
@@ -1,6 +1,6 @@
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 title: Progress
-description: Track workflow job execution with user-defined progress indicators in Tilebox Workflows. Report completion using a simple done and total model for visibility.
+description: Report and visualize user-defined progress indicators during job execution to provide visibility into completion status and the estimated remaining time.
 icon: bars-progress
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