AI · head to head
Rev vs TensorBoard
Rev
AI
Human and AI transcription, captions and subtitles priced per minute
- From
- Free
- Free plan
- Yes
T
TensorBoard
Machine Learning
Local visualisation for training runs, reading event files written to a directory
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: Rev human transcription at 1.99 US dollars a minute means roughly 120 dollars an hour of audio, so a long-form interview series costs more in transcription than most teams assume before they run the arithmetic.; TensorBoard there is no authentication of any kind, so putting it on a shared host exposes every run, every metric and every logged sample image to anyone who can reach the port, and adding access control means building and maintaining a reverse proxy.
- They diverge on capability: Rev covers Human transcription, TensorBoard covers Scalar dashboards.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Rev and TensorBoard actually diverge.
| Attribute | Rev | TensorBoard |
|---|---|---|
| Pricing model | Per minute for human work, per seat per month for AI | open-source |
| Platforms | Web, iOS, Android, API | Web |
| Category | AI | Machine Learning |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Rev
- Human transcription
- AI transcription
- Captions and subtitles
- Legal transcripts
- File analysis
- Clio integration
- Rev API
- Speaker identification
Only in TensorBoard
- Scalar dashboards
- Run comparison
- Graph visualisation
- Histograms and distributions
- Embedding projector
- Image, audio and text panels
- Hyperparameter view
- Profiler
What people use each for
The jobs each tool is most often brought in to do.
Rev
- A law firm that needs a deposition transcript in a court-acceptable page format with a fixed turnaround and a published per-page price it can bill to a matter.not TensorBoard
- A documentary or podcast producer costing a project in advance, because human transcription at a published per-minute rate makes the transcription line item a known number.not TensorBoard
- A broadcaster needing compliant human captions rather than machine captions, where accuracy is a regulatory requirement and not a convenience.not TensorBoard
- A team with high AI volume and occasional high-stakes files, using the subscription for the bulk and paying the discounted human rate only where accuracy matters.not TensorBoard
TensorBoard
- Watching a training run in progress on a workstation or a remote box, to decide whether to stop it earlynot Rev
- Diagnosing why a model is not learning, by looking at gradient and weight histograms rather than only the loss curvenot Rev
- Profiling a slow training loop to find out whether the bottleneck is the data pipeline or the acceleratornot Rev
- Working in an environment with no outbound network access, where a hosted tracking service is not an optionnot Rev
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Rev
- Human transcription at 1.99 US dollars a minute means roughly 120 dollars an hour of audio, so a long-form interview series costs more in transcription than most teams assume before they run the arithmetic.
- AI minutes are allocated per seat per month and do not roll over, so bursty workloads, which is how most media production actually behaves, waste allowance in quiet months and run out in busy ones.
- The product direction has moved towards legal and investigative use, so a newsroom or media buyer is choosing a tool whose roadmap priority sits elsewhere.
- Foreign-language subtitles are priced from 6.49 to 15.99 US dollars per minute, an order of magnitude above transcription, which makes multi-language localisation of any volume of video expensive enough to change the plan.
- Human turnaround is stated in hours rather than guaranteed contractually on the published plans, so a hard broadcast or filing deadline needs an agreement beyond the standard terms.
TensorBoard
- There is no authentication of any kind, so putting it on a shared host exposes every run, every metric and every logged sample image to anyone who can reach the port, and adding access control means building and maintaining a reverse proxy.
- Event files grow without limit and the interface loads runs into memory, so a directory holding hundreds of runs or a script logging scalars every step becomes slow to start and unpleasant to navigate well before the disk fills.
- It shows only what the training loop chose to write, so nothing connects a curve back to the code commit, the data set version or the environment unless the engineer logged those explicitly, which means the reproducibility problem is left entirely to you.
- TensorBoard.dev, the hosted service for sharing a run by link, was shut down at the end of 2023, so results now travel between colleagues as screenshots or through a deployment somebody on the team has to operate.
- Comparing runs is done by ticking boxes in a run list, which is fine for ten runs and useless for a thousand, and that threshold is precisely where teams start paying for MLflow, Weights and Biases or Neptune instead.
Pricing, plan by plan
Rev
Free- FreeFree
- 45 AI transcription and caption minutes per month
- Up to 5 files analysed
- No human transcription included
- Essentials$25.49/month
- 5,000 AI minutes per seat per month
- Up to 3 seats
- 10 per cent discount on human transcription, captions and subtitles
- Pro$47.99/month
- 10,000 AI minutes per seat per month
- Up to 5 seats
- 15 per cent discount on human work
- Unlimited$undefined/month
- Unlimited AI minutes
- Up to 500 files analysed at once
- Dedicated account specialist
TensorBoard
FreeNo published plan breakdown. See the TensorBoard review.
Which should you pick?
Choose Rev if
- You need human transcription.
- You want to start without paying.
- You work on Web, iOS, Android, API.
- You also want ai transcription.
Choose TensorBoard if
- You need scalar dashboards.
- You want to start without paying.
- You also want run comparison.
Questions people ask
- Is Rev or TensorBoard better?
- Neither clearly leads. Rev starts at Free and TensorBoard at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Rev or TensorBoard?
- Rev starts at Free and TensorBoard at Free.
- Does Rev or TensorBoard run on more platforms?
- Rev runs on Web, iOS, Android, API. TensorBoard runs on Web.
- Can I use Rev for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Rev best used for?
- Rev is most often used for a law firm that needs a deposition transcript in a court-acceptable page format with a fixed turnaround and a published per-page price it can bill to a matter., a documentary or podcast producer costing a project in advance, because human transcription at a published per-minute rate makes the transcription line item a known number., a broadcaster needing compliant human captions rather than machine captions, where accuracy is a regulatory requirement and not a convenience., a team with high ai volume and occasional high-stakes files, using the subscription for the bulk and paying the discounted human rate only where accuracy matters.. Of those, a law firm that needs a deposition transcript in a court-acceptable page format with a fixed turnaround and a published per-page price it can bill to a matter. and a documentary or podcast producer costing a project in advance, because human transcription at a published per-minute rate makes the transcription line item a known number. are not what TensorBoard is typically brought in for.
- What can Rev do that TensorBoard cannot?
- Rev covers Human transcription, AI transcription, Captions and subtitles, Legal transcripts. TensorBoard covers Scalar dashboards, Run comparison, Graph visualisation, Histograms and distributions.
Answered from the vendors’ own pages
Rev: How much is human transcription?
1.99 US dollars per minute with a stated accuracy target above 99 per cent, typically returned within 12 hours. Subscribers get 10 to 15 per cent off.
TensorBoard: Does it work with PyTorch?
Yes. PyTorch includes a SummaryWriter that emits the same event file format, and Lightning wires it up by default. Nothing about the tool requires TensorFlow at run time.
Rev: Is there a free tier?
Yes, 45 AI minutes per month and up to 5 files analysed, with no human transcription included.
TensorBoard: Do I have to install TensorFlow to use it?
No. The tensorboard package installs on its own. Some plugins expect TensorFlow to be present, but the scalar, histogram and image dashboards do not.
Rev: Do unused AI minutes roll over?
No. The allowance is per seat per month and resets, which penalises irregular workloads.
TensorBoard: Is it an experiment tracker?
No, and treating it as one is the common mistake. It visualises whatever a run wrote to disk. It does not store hyperparameters, code versions, artefacts or results in a way that survives someone deleting the log directory.
Rev: Can it do subtitles in other languages?
Yes, across seventeen languages, priced from 6.49 to 15.99 US dollars per minute, considerably more than transcription.
TensorBoard: How do I share a dashboard with a colleague?
Host it yourself behind your own authentication, or send screenshots. The hosted sharing service was retired at the end of 2023.
Rev: Is Rev still a good choice for newsrooms?
It works, but the subscription tiers are now positioned around legal and investigative workflows, so a newsroom should compare it against a tool built specifically for journalism.
TensorBoard: What does it cost?
Nothing. It is Apache 2.0 licensed and runs on your own machine.
Related pages
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