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Research · head to head

Reduct vs TetraScience

Reduct logo

Reduct

Research

Edit video by editing its transcript, built for researchers rather than video editors

From
$12/month
Rated
-
Full reviewWebsite
TetraScience logo

TetraScience

Research

Scientific data cloud that harmonises instrument output across the lab estate

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Reduct automatic transcription struggles with technical vocabulary, product names and strong accents, so teams working in specialist domains spend real time correcting transcripts or pay extra for the human transcription add-on, which erodes the cost advantage.; TetraScience pricing is scoped on connected instruments and data engineering effort rather than a published unit, so the cost of adding a new laboratory or an acquired site is impossible to forecast without going back to the vendor.
  • They diverge on capability: Reduct covers Transcript-based editing, TetraScience covers Instrument connectors.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Reduct and TetraScience actually diverge.

Attributes where Reduct and TetraScience differ
AttributeReductTetraScience
Starting price$12/monthOn request
Pricing modelPer user per monthquote
PlatformsWeb, APIWeb, Cloud, API

Identical on both: free tier (No), user rating (Not yet rated), category (Research).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Reduct

  • Transcript-based editing
  • Automatic transcription
  • Human transcription add-on
  • Highlight and tagging
  • Reel assembly
  • Redaction
  • Multicam sync
  • Collaborative commenting

Only in TetraScience

  • Instrument connectors
  • Tetra Data harmonisation
  • Cloud-native data platform
  • GxP package
  • Scientific applications
  • Data provenance
  • Open access
  • AWS Marketplace availability

What people use each for

The jobs each tool is most often brought in to do.

Reduct

  • A research team that runs twenty customer interviews a quarter and needs stakeholders across product and design to watch and comment without buying them seatsnot TetraScience
  • A researcher assembling a five-minute highlight reel of user pain points for an executive review, working from transcript text rather than a video timelinenot TetraScience
  • A public defender office redacting faces and identifying details from body-camera and interview footage before disclosurenot TetraScience
  • A global insights team transcribing and translating interviews across several languages before coding them thematicallynot TetraScience

TetraScience

  • A pharmaceutical company trying to make twenty years of chromatography data usable for modelling rather than trapped on instrument workstationsnot Reduct
  • A biotech building machine learning models on assay data that currently requires manual export from every instrumentnot Reduct
  • A quality control laboratory needing instrument data captured with provenance and audit trail for regulated usenot Reduct
  • A company consolidating data from acquired sites where each site runs a different instrument vendor and informatics stacknot Reduct

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Reduct

  • Automatic transcription struggles with technical vocabulary, product names and strong accents, so teams working in specialist domains spend real time correcting transcripts or pay extra for the human transcription add-on, which erodes the cost advantage.
  • Transcription hours are a pooled annual allowance rather than monthly, so a team that front-loads a large research programme in one quarter can exhaust the year and face overage charges for the remaining nine months.
  • The Personal tier caps file size at 4GB, which is easily exceeded by an hour of multicam or high-bitrate recording, forcing an upgrade for reasons unrelated to the feature set.
  • Independent review coverage is very thin, so there is little public evidence to check vendor claims against, and buyers effectively have to rely on their own trial rather than peer signal.
  • The company has raised only about 4 million USD since 2018 and remains small, which makes enterprise vendor viability review and data-export planning genuinely necessary before you make it the home of years of research recordings.

TetraScience

  • Pricing is scoped on connected instruments and data engineering effort rather than a published unit, so the cost of adding a new laboratory or an acquired site is impossible to forecast without going back to the vendor.
  • Value depends entirely on connector coverage for your actual instrument estate; an instrument type without an existing productised connector becomes a services engagement with its own timeline and cost.
  • The GxP package is a separate annual subscription rather than an included capability, so a company that starts in research and later needs regulated use faces an additional commercial line and a validation exercise.
  • It is infrastructure with no end-user application of its own, so the business case rests on downstream analytics and AI work that has to be resourced and delivered separately before anyone sees a benefit.
  • Deployment is a multi-year programme touching instruments, networks, validated systems and site IT, and organisations consistently underestimate the internal effort required from people who also have day jobs running the laboratory.

Pricing, plan by plan

Reduct

$12/month
  • Personal$12/month
    • 120 transcription hours per editor per year
    • Up to 10 commenters
    • 720p export
  • Professional$40/month
    • 300 transcription hours per editor per year
    • Up to 50 commenters
    • Timeline view
  • Enterprise$75/month
    • 4K export
    • SAML and Google SSO
    • SOC 2 Type II

TetraScience

On request
  • Tetra Scientific Data Cloud$undefined/year
    • Priced on number of instruments connected and scope of data engineering
    • Contract entitles a specified quantity of use for its duration
    • Multi-year enterprise agreements are the norm
  • Tetra GxP package$undefined/year
    • Separate annual subscription executed within the licence agreement
    • Audit trail, data provenance, control matrices and software hazard analysis
    • Disaster recovery provisions

Which should you pick?

Choose Reduct if

  • You need transcript-based editing.
  • You work on Web, API.
  • You also want automatic transcription.
Reduct review

Choose TetraScience if

  • You need instrument connectors.
  • You work on Web, Cloud, API.
  • You also want tetra data harmonisation.
TetraScience review

Questions people ask

Is Reduct or TetraScience better?
Neither clearly leads. Reduct starts at $12/month and TetraScience at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Reduct or TetraScience?
Reduct starts at $12/month and TetraScience at On request.
Does Reduct or TetraScience run on more platforms?
Reduct runs on Web, API. TetraScience runs on Web, Cloud, API.
What is Reduct best used for?
Reduct is most often used for a research team that runs twenty customer interviews a quarter and needs stakeholders across product and design to watch and comment without buying them seats, a researcher assembling a five-minute highlight reel of user pain points for an executive review, working from transcript text rather than a video timeline, a public defender office redacting faces and identifying details from body-camera and interview footage before disclosure, a global insights team transcribing and translating interviews across several languages before coding them thematically. Of those, a research team that runs twenty customer interviews a quarter and needs stakeholders across product and design to watch and comment without buying them seats and a researcher assembling a five-minute highlight reel of user pain points for an executive review, working from transcript text rather than a video timeline are not what TetraScience is typically brought in for.
What can Reduct do that TetraScience cannot?
Reduct covers Transcript-based editing, Automatic transcription, Human transcription add-on, Highlight and tagging. TetraScience covers Instrument connectors, Tetra Data harmonisation, Cloud-native data platform, GxP package.

Answered from the vendors’ own pages

Reduct: How is Reduct priced?

Per editor per month: 12 USD on Personal, 40 on Professional and from 75 on Enterprise, with transcription supplied as a pooled annual hour allowance per editor.

TetraScience: What is the pricing unit?

Connected instruments and the scope of data engineering, over a fixed contract term. There is no published per-seat or per-gigabyte rate.

Reduct: Do stakeholders who only watch and comment need a paid seat?

No. Commenters are separate from editor seats and included up to 10 on Personal and 50 on Professional, which is the main reason research teams choose it.

TetraScience: Does it replace my ELN or LIMS?

No. It sits underneath them, harmonising instrument data and making it available to whatever applications you already run.

Reduct: Can I use it as a proper video editor?

Only up to a point. It handles transcript-driven cutting, reels and multicam sync, then exports to Premiere Pro or Final Cut Pro when you need real finishing.

TetraScience: Is it usable in a GxP environment?

Yes, with the separately subscribed Tetra GxP package. It reduces validation effort substantially but does not eliminate your validation obligation.

Reduct: Is there a free tier?

No. There is a 14-day trial on Professional with five hours of transcription, but no permanent free plan.

TetraScience: Can I get the harmonised data out?

Yes. Tetra Data is designed to be accessible to your own analytics tools rather than confined to the platform.

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