Typesense Hosting Live In 5 Minutes

Typesense hosting on xCloud gives your application a self-hosted search engine behind an authenticated HTTPS API. Deploy Typesense in one click: xCloud runs the pinned 30.2 image as a single node, mounts the typesense_data volume for your documents, generates a 48-character bootstrap API key and publishes the endpoint on your domain, so you can create your first collection straight away.

  • No terminal
  • No technical skills needed
  • No lock-in, cancel anytime

What is Typesense?

Typesense is a fast, typo-tolerant search engine for building search experiences, released under GPL-3.0. Self-hosted Typesense presents itself as an open-source Algolia alternative and an easier-to-use Elasticsearch alternative, delivered as a single binary written in C++ with no runtime dependencies. It offers typo tolerance, faceting, filtering, geo search, vector search, synonyms and scoped API keys through an HTTP API, with client libraries and search UI components.

This template runs Typesense 30.2 as one single-node container behind xCloud's nginx, with the port bound to localhost. The typesense_data volume holds the raw documents and the on-disk state used to rebuild the in-memory indexes. xCloud generates the bootstrap administrator API key. There is no browser setup page: you create collections through the API.

From Sign-Up to a Live Search API In Just 3 Easy Steps

A Typesense install normally means a container, a persistent data directory, a generated admin key, a reverse proxy, a domain and a certificate before the first query. This is the same result without assembling any of it.

  1. Step 01

    Sign Up

    Create your xCloud account and pick Typesense from the OneClick catalog. Choose your domain and target server; the install form has no application fields, because xCloud generates the key.

  2. Step 02

    We Deploy It For You

    One click. We start Typesense 30.2 pinned by digest as a single node, mount typesense_data at /data, bind port 8108 to localhost behind nginx and publish the API over HTTPS on your domain.

  3. Step 03

    Create A Collection

    Check the /health endpoint, then send the bootstrap key in the X-TYPESENSE-API-KEY header to create your first collection and add documents. Create a restricted search key before connecting a browser.

Everything Typesense Does, On Your Own Server

Typesense runs here as a single-node search API, with your documents on a volume you control and every request authenticated.

  • Typo-Tolerant Matching

    Typesense handles typographical errors out of the box, so a search for a misspelled product name still finds the right record.

  • Faceting And Filtering

    Drill down and refine results with facets and filters, and sort dynamically at query time, for example by price ascending.

  • Geo Search

    Search and sort by results around a latitude and longitude, or within a bounding box, for store locators and listings.

  • Vector Search

    Index embeddings from your own models and run nearest-neighbour queries for similarity, semantic search or recommendations; vector workloads can need substantially more RAM.

  • Scoped API Keys

    Generate keys that only allow access to certain records, so browsers and multi-tenant applications never see the bootstrap administrator key.

  • A Single Authenticated API

    API requests need a key, CORS is enabled for browser clients, and the container port is reachable only through xCloud nginx over HTTPS.

Everything You Need To Run Your Search API 24/7

Managed hosting for Typesense, so the parts that keep it online are not your problem.

  • Typesense 30.2 deployed instantly
  • Official image pinned by digest
  • Bootstrap API key generated for you
  • Port 8108 bound to localhost
  • Free SSL certificate
  • Server backups and snapshots
  • Server security updates included
  • 30+ server locations
  • Unused balance refunded

What You Can Do With Typesense

  • Add typo tolerant search to a site

    A developer indexes a product catalogue and lets shoppers find items despite misspellings, with facets for category and filters for price, all from an endpoint on their own domain.

  • Replace a hosted search subscription

    A team that pays for Algolia moves its search to Typesense on a Cloud VPS it controls, keeping the data in its own volume and using scoped keys for the front end.

  • Build a store locator with geo search

    A retailer indexes its shops with coordinates and sorts results by distance from a visitor, using a restricted search key from the browser.

  • Prototype semantic search on your data

    A machine-learning engineer indexes embeddings from their own model and runs nearest-neighbour queries, sizing the server up if the vectors outgrow the memory floor.

Typesense vs Alternatives

Algolia
Upstream's README calls Typesense an open-source Algolia alternative, and with this template the index and data sit on a Cloud VPS you control.
Meilisearch
Comparing Meilisearch, also on xCloud? Typesense is GPL-3.0, written in C++ as a single binary, and its template asks for 2048 MB of RAM and 2 CPU cores. Benchmark both on your own documents and queries.
Elasticsearch
Upstream's README positions Typesense as an easier-to-use Elasticsearch alternative, delivered as a single binary with no runtime dependencies. This baseline is a single node, not a cluster.
Typesense Cloud
Upstream runs its own Typesense Cloud service. Running the open-source image yourself on a dedicated Cloud VPS instead keeps the documents and API keys on infrastructure you manage.

Ready To Own Your Search Engine?

Typesense on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Keep your data. Stay in control.

Hear what people are saying about us

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

Can I self-host Typesense with Docker?

Yes, and Typesense Docker hosting is what this template does. Upstream publishes the typesense/typesense image; xCloud runs 30.2 pinned by digest as a single-node container with typesense_data mounted, served on your domain over HTTPS, instead of a docker run command and reverse proxy you maintain yourself.

How much RAM does Typesense need?

The template manifest asks for 2048 MB of RAM, 2 CPU cores and 10 GB of disk as a floor, and these are catalogue minimums, not production sizing advice. The 6 GB Cloud VPS here clears them. Vector and embedding workloads can need substantially more memory, so size to your dataset.

Does Typesense keep its index in memory?

Yes. Typesense keeps its search indexes in memory, and the template notes upstream's estimate that keyword indexes take roughly two to three times the size of the searchable-field data. The typesense_data volume stores the raw documents used to rebuild those indexes after a restart.

How do I update Typesense?

Typesense does not update itself here: 30.2 is pinned by digest, and a catalogue re-sync does not upgrade existing installs. Export a verified backup, read upstream's upgrade notes for every version you cross, recreate the container without deleting typesense_data, then verify health and representative searches.

What should I back up for Typesense?

Back up the complete typesense_data volume, which holds the raw documents and on-disk state. For an application-consistent backup, use Typesense's snapshot procedure or stop the service before copying the volume, store the copy off the server and test the restore. Never run docker compose down -v.

What is the Typesense API key and how do I use it?

xCloud generates a 48-character bootstrap administrator key, shown in your credentials panel. Send it in the X-TYPESENSE-API-KEY header for admin requests and keep it server-side, because it permits every operation. For browsers, create restricted search-only or scoped keys through the key management endpoints.

Is Typesense a good Algolia alternative?

Upstream's README calls Typesense an open-source Algolia alternative, with typo tolerance, faceting, filtering and geo search. Whether it fits depends on your data and RAM budget. This template is single-node, and upstream recommends a three- or five-node cluster where high availability matters.

Typesense vs Meilisearch: which is better?

Neither wins on every dataset. Meilisearch's xCloud template asks for 512 MB of RAM; Typesense is GPL-3.0, keeps its indexes in memory and its template asks for 2048 MB and 2 CPU cores. Benchmark both on your own documents and queries before choosing.

Does Typesense support vector search?

Yes. Upstream lists vector search: you index embeddings from your own models and run nearest-neighbour queries for similarity, semantic search or recommendations. Memory use grows with the vectors, so the 6 GB plan is a starting point. Built-in embedding models are an upstream option this template does not configure.

Is Typesense free and open source?

Yes. Typesense is open source under the GPL-3.0 licence, and LICENSE.txt at the v30.2 tag is the GPL text. xCloud charges for the server and deployment, with nothing added for the software. Upstream also sells its separate Typesense Cloud service, which this self-hosted page does not use.

Who owns the data stored in Typesense?

You do. This is Typesense cloud hosting on a dedicated Cloud VPS only you use, so your collections and documents sit in your own typesense_data volume, separate from upstream's Typesense Cloud service. xCloud runs the server and deployment, and you own the data and the keys.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.

Ready to Own Your Search Engine?

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