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Hachi vs TwelveLabs

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both have one
Public API
TwelveLabs has one; not confirmed by us for Hachi
Best fit
Hachi: People with large local video and photo archives who refuse to upload them · TwelveLabs: Developers building search over large video archives
Trust score
About even — Hachi 86, TwelveLabs 89
Status
Both up at our last check — Hachi Oct 16, 2026, TwelveLabs Oct 15, 2026

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactHachiTwelveLabs
CategoryVideo Analysis & SearchVideo Analysis & Search
Pricing modelFreemiumFreemium
Starts at—$29/mo
Public APINot confirmedYes
Trust score86 / 10089 / 100
PlatformsWebWeb, API
CompanyRamanLabsTwelveLabs, Inc.
Launched20232021
Last verifiedOct 16, 2026Oct 15, 2026

What our research says

Hachi

A genuinely private alternative to cloud photo search: the index and the queries never leave your machine, and the code is auditable under AGPLv3. The trade-off is that you are the sysadmin — x86_64 hardware, a local install, no mobile client, no hosted fallback. The commercial side looks half-abandoned even though the code is not.

Pros

  • Natural-language queries run across both video and image indexes locally
  • Face recognition groups people across the indexed library
  • Source is published on GitHub under AGPLv3 and was still being committed to in December 2025
  • Runs fully offline, so no media or query text leaves the machine

Cons

  • Requires x86_64 hardware and a manual self-host; there is no hosted option
  • The Gumroad link for the paid build 404s, so the commercial tier is effectively unavailable
  • The marketing page still carries a 2022 copyright and names no legal entity or country

TwelveLabs

Still the most direct way to add real video search and Q&A to a product without training multimodal models yourself. Pricing has moved from per-minute metering to plans that bundle storage with a monthly workload allowance, which makes a prototype's cost predictable, but a large archive outgrows Plus quickly and only Pro can buy overage.

Pros

  • Purpose-built video models rather than frame-sampled image models
  • A free plan and self-serve $29 and $99 tiers make prototype costs predictable
  • Re-indexing for new model releases is included in the monthly fee
  • SDKs and a playground support evaluation before committing
  • Analyze handles continuous reasoning over long footage

Cons

  • Storage and workload allowances are separate, and Free and Plus stop at their caps with no overage
  • It is infrastructure, not a turnkey app - integration takes engineering
  • Large archives push quickly into Pro overage or an enterprise contract

Which one fits

Choose Hachi if you need

  • People with large local video and photo archives who refuse to upload them
  • Homelab and NAS owners comfortable running a self-hosted service
  • Anyone who wants face grouping without a cloud provider holding the faces

Choose TwelveLabs if you need

  • Developers building search over large video archives
  • Media and sports teams automating highlights and logging
  • Products that need video Q&A or summarization via API

Hachi vs TwelveLabs: the questions people ask

Is Hachi cheaper than TwelveLabs?

TwelveLabs starts at $29/mo. Hachi has a free tier; what its paid plans cost is not confirmed by us yet.

Does Hachi or TwelveLabs have a free tier?

Both: Hachi has a free tier, and TwelveLabs has a free tier.

Which has a public API, Hachi or TwelveLabs?

TwelveLabs ships a public API, as of our last verification. A public API for Hachi is not confirmed by us — check its developer docs before you plan an integration.

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