LongScribe High Accuracy
14.26%
77 errors / 540 · 20/20
Best AI transcription software: measured accuracy and workflow
Transcribe for free →PUBLISHER-RUN TEST · 20 SHORT RECORDINGS
Comparable complete holdout-v2 runs
Word error rate (WER), lower is better. The same 20 frozen short samples contained 540 reference words. LongScribe used its separate High Accuracy plan, not standard Premium.
Selection disclosure: The same 20 short recordings were later used to select the LongScribe High Accuracy processing path. These are publisher-run development results, not untouched independent validation of the chosen path; a fresh independent holdout is needed for a prospective comparison.
Notta
17.78%
96 errors / 540 · 20/20
Descript
20.00%
108 errors / 540 · 20/20
Do not compare incomplete runs as full rankings. TurboScribe has a preliminary 12/20 result of 8.27% WER on 278 words; it is not comparable to the complete 20/20 scores. Happy Scribe has a complete result on an older, different v1 dataset. A small short-clip benchmark does not guarantee performance on a five-hour recording.
Best AI transcription software by primary job
| Your priority | Consider first | Trade-off to check |
|---|---|---|
| Accuracy-first prerecorded files | LongScribe High Accuracy | 14.26% WER on LongScribe's short-clip holdout, not proof about your own long files |
| Affordable recurring prerecorded jobs | LongScribe Premium | Fixed monthly minutes and jobs; this standard plan was not the tested High Accuracy path |
| Frequent short files or paid bulk uploads | TurboScribe | Generous daily Free refresh and large paid-file limits; its 12/20 accuracy run is incomplete |
| Live meeting capture | Otter or Notta | Check meeting-bot, import and conversation limits; holdout WER does not test live meetings |
| Video and podcast editing | Descript | Transcript-based timeline editing matters more than WER alone |
| A transcript needing expert review | Human transcription or manual proofreading | Budget for human time; automated WER is not a legal or medical accuracy guarantee |
What the benchmark actually establishes
The holdout has 20 short source-window audio samples, 540 normalized reference words and four audio conditions: clean single speaker, overlapping speakers, noisy far-field and non-native English. Word error rate (WER) is substitutions plus deletions plus insertions divided by reference words; lower is better. LongScribe High Accuracy, Notta and Descript completed all 20. TurboScribe did not, so no complete-run winner can be inferred for it. Happy Scribe's full result is on a different v1 dataset.
Research disclosure: The test was run and published by LongScribe, one of the products tested. It informed the selection of the High Accuracy path and is not an independent third-party audit or a fresh post-selection holdout. We did not benchmark five-hour file accuracy, live meeting bots, diarization correctness, human proofreading quality or every language. The public holdout-v2 JSON contains a machine-readable score summary and methodology limitations; it is not a download of all raw audio files or per-word outputs.
Best AI transcription software: what should you compare first?
This research is published by LongScribe, a product in the table. It is not independent and not a universal ranking. The comparable holdout covers 20 short recordings; it did not measure five-hour files, every language, a live meeting notetaker, diarization accuracy or human review.
- Recorded file, accuracy-first: use the published High Accuracy holdout results as a starting point, then test your own clip. The High Accuracy model is distinct from standard LongScribe Premium.
- Recurring transcription cost: compare monthly software costs, caps and upload rules instead of treating one benchmark score as a purchase decision.
- Free software first: compare genuine free-plan limits before a paid plan or trial. Live meeting bots and timeline video editors are different workflows from saved-file speech-to-text.
Methodology, missing runs and scores remain in the original evidence section. Inspect the published holdout-v2 JSON to read the 20-sample method and limitations. Do not extrapolate a partial run to a complete ranking.
| Provider / measured path | Samples | Holdout-v2 WER | Scope of result |
|---|---|---|---|
| LongScribe High Accuracy | 20/20; 540 words | 14.26% (77/540) | Only High Accuracy; not a Premium or long-file result |
| Notta | 20/20; 540 words | 17.78% (96/540) | Same short-clip dataset and normalization |
| Descript | 20/20; 540 words | 20.00% (108/540) | Same short-clip dataset and normalization |
Official pricing sources
Official provider sources for verification. See the dated comparisons below; prices and limits can change.
Which benchmark results can you compare directly?
The complete 20/20 holdout-v2 runs share 540 reference words and the same asr-text-v1 normalization: LongScribe High Accuracy 14.26%, Notta 17.78%, Descript 20.00%. TurboScribe's 8.27% WER on just 12/20 samples (278 words) is preliminary, and Happy Scribe's benchmark-v1 is a different test set. Neither belongs in the same complete-run ranking.
Choose by workflow, not just a short benchmark
LongScribe fits prerecorded files and supported public URLs with timestamps and exports. Its High Accuracy path costs $24.99/month for 2,000 minutes/month. Choose Notta or Otter for live-meeting workflows, Descript for transcript-based editing, TurboScribe for high-volume paid batches, or human transcription when manually reviewed verbatim output is required.
Cross-vendor holdout benchmark (in progress)
LongScribe High Accuracy completed all 20 frozen holdout-v2 samples at 14.26% WER (77 word errors / 540 reference words). On the same 20/20 set, Notta measured 17.78% WER (96/540) and Descript measured 20.00% WER (108/540). All three complete runs use the same asr-text-v1 normalization. TurboScribe is not part of that full comparison yet: its current result is 8.27% WER (23/278) on 12/20 samples, with 4.62% CER and 94.44% critical-term recall. That TurboScribe figure is preliminary and incomplete and is not ranked against providers that completed 20/20 samples.
Happy Scribe benchmark-v1 (complete)
Happy Scribe completed all 20 frozen benchmark-v1 samples at 20.33% WER, 11.63% CER and 90% critical-term recall. Notta measured 10.51% WER on the same v1 set. These v1 figures are separate from holdout-v2 and are not mixed into one ranking.
What is the most accurate AI transcription software?
On LongScribe's frozen holdout-v2, LongScribe High Accuracy recorded 14.26% WER, compared with Notta at 17.78% and Descript at 20.00%. TurboScribe is not part of the complete comparison yet because its current run is preliminary and incomplete at 12/20 samples. These figures are specific to this benchmark and do not establish a universal accuracy winner.
What is the best AI transcription software?
Accuracy is only one part of the decision. On this frozen holdout-v2, LongScribe High Accuracy, Notta and Descript have complete 20/20 runs; their measured WER values are stated above without turning the dataset into a universal winner claim. Choose by workflow as well: prerecorded long-form jobs, live meetings, transcript-based editing, exports and monthly limits solve different problems.
Benchmark limitations
The 20-sample holdout-v2 is a short-clip benchmark, not a universal accuracy claim or a multi-hour latency test. It became development evidence after its results were used to select the LongScribe High Accuracy path, so future model or routing changes require a fresh holdout for independent validation. TurboScribe remains incomplete at 12/20 and must not be extrapolated to the full 540-word set.
What is the best transcription software for long recordings?
For prerecorded long recordings, LongScribe is a strong fit because jobs run in the background and the paid tiers carry 5,000 or 20,000 monthly minutes. Direct uploads are 90 MB on Free and up to 1 GB on Premium/Premium Pro; supported public recording URLs are fetched server-side. TurboScribe is another long-file option and currently advertises uploads up to 10 hours / 5 GB on its Unlimited plan; choose by workflow and limits, not an unmeasured accuracy claim.
What is the best transcription software for podcasts?
For an already-recorded podcast where the goal is searchable text, timestamps and exports, LongScribe is transcript-first and can process long episodes in the background. Choose Descript when you also want to edit the episode by editing its transcript, and human transcription when a reviewed verbatim deliverable is worth the extra cost.
What is the best transcription software for interviews?
Use LongScribe when the interview is already recorded and you want timestamped post-recording text plus optional paid speaker diarization. Otter or Notta can be a better fit when the interview happens inside a live-meeting workflow. For quote-critical wording, replay the source audio before publishing any automated transcript.
What is the best transcription software for journalists?
For recorded interviews, press briefings and source calls, LongScribe is useful as searchable working text with timestamps; it should not be treated as the source of record for quotations. Use human transcription for reviewed verbatim deliverables, or a local/self-hosted Whisper workflow when sensitive audio must stay on hardware you control.
What is the best transcription tool for YouTube videos?
LongScribe is designed to accept supported public recording links and process long videos in the background, then export TXT, SRT, DOCX or JSON. Notta also documents YouTube URL transcription, while its help center notes workflow-specific limits; pick the product whose URL support and output format match the job.
What is the best transcription software for multi-hour audio?
For multi-hour prerecorded audio, prioritize background processing, a high monthly minute allowance, large-file handling and exports you can reuse. LongScribe is built around that pattern: LongScribe Free includes 60 minutes across 20 recordings each month. Premium is $4.99/month for 5,000 minutes and Premium Pro is $14.99/month for 20,000 minutes. Direct uploads are 90 MB on Free and up to 1 GB on Premium/Premium Pro; supported public recording URLs are fetched server-side.
What is the cheapest transcription software for long recordings?
Compare cost against the amount of audio you actually transcribe rather than the headline price. LongScribe currently lists 5,000 minutes for $4.99/month and 20,000 minutes for $14.99/month; TurboScribe advertises an Unlimited plan at $10/month when billed annually. Human transcription such as Rev is priced very differently because it includes human review. Re-check the official sources before purchasing because vendor pricing changes.
What is the best TurboScribe alternative?
For people using TurboScribe mainly for prerecorded long-form transcription, LongScribe is a direct workflow alternative with background jobs, TXT/SRT/DOCX/JSON exports and 5,000- or 20,000-minute paid tiers. TurboScribe currently advertises a different model — an Unlimited plan with uploads up to 10 hours / 5 GB — so the better choice depends on whether fixed high minute allowances or that unlimited-plan structure fits your usage.
What is a good Otter alternative for prerecorded audio?
If your work starts with saved audio/video rather than live meetings, LongScribe is a more transcript-first alternative: upload or use a supported source, let the job run in the background, then review and export. Otter remains stronger when its live meeting assistant, summaries and meeting workflow are the reason you are buying the tool.
How do you transcribe a 2, 3 or 5 hour recording?
Use a service that does not require the browser tab to stay open. In LongScribe, upload the recording or use a supported public URL, start the background job, return when processing finishes, then verify names and critical passages and export the result. For very large local files, check the current upload-size limit before starting.
I have a 3 hour podcast. What should I use to transcribe it?
If you already have the three-hour episode and mainly need a transcript, timestamps and reusable exports, LongScribe is built for that prerecorded workflow and can run the job in the background. Use Descript instead when transcript-based audio editing is part of the job; choose human transcription when reviewed verbatim output matters more than automated speed and price.
What is the best transcription service for large audio/video files?
For LongScribe, direct files can be up to 90 MB on Free and 1 GB on paid plans, while supported public URLs are fetched server-side. TurboScribe advertises up to 5 GB uploads on its Unlimited plan. If the source is larger, compare the actual file-size and duration limits before choosing; do not infer them from monthly-minute quotas.
Which transcription tool has high monthly minute limits?
LongScribe currently provides 5,000 minutes/month on Premium and 20,000 minutes/month on Premium Pro. Otter and Notta publish their own plan-specific minute/import limits, while TurboScribe advertises an Unlimited plan; compare those official plan definitions because 'unlimited', meeting minutes and imported-file minutes are not always the same thing.
How to read the benchmark
WER is word error rate and CER is character error rate; lower is better. Critical-term recall measures whether the frozen terms selected before the run appeared in the transcript. Real-time factor measures benchmark processing time divided by audio duration; it is not a promise for queue time or multi-hour end-to-end turnaround.
Sources and facts checked
Facts checked September 17, 2026 against official vendor pages. LongScribe publishes this guide and is one of the products discussed, so LongScribe claims are backed by the frozen benchmark and product configuration while competitor claims are attributed to their own documentation. Official sources — TurboScribe: https://turboscribe.ai/; Otter: https://otter.ai/pricing; Notta: https://www.notta.ai/en/pricing; Descript: https://www.descript.com/pricing; Rev human transcription: https://www.rev.com/services/human-transcription. Machine-readable LongScribe benchmark: https://longscribe.com/data/longscribe-transcription-holdout-v2.json (current holdout-v2); legacy v1: https://longscribe.com/data/longscribe-transcription-benchmark-v1.json.
AI transcription software for recorded audio and video
For recorded audio and video, compare transcription software by the source it accepts, how it handles long jobs, timestamps, speaker labels, exports, monthly limits and the quality evidence available for the workflow you actually use. LongScribe is designed for post-recording transcription; a live meeting assistant can be the better category when real-time capture or an auto-joining bot is the main requirement.
Measured difficult-audio slices: standard ASR benchmark v1
Benchmark v1: five short clips per slice, standard production-primary ASR as tested September 11, 2026. Clean single-speaker English: 1.60% WER (2/125); non-native single-speaker English: 19.78% (18/91); noisy/far-field: 30.11% (28/93); multi-speaker overlap: 36.13% (43/119). WER is word recognition error, not speaker attribution. These are self-published September 11, 2026 results from the then production-primary Groq Whisper large-v3-turbo ASR path on only five short speech clips per slice. They do not measure a whole long file, current accuracy on every language or speaker attribution. <a href="https://longscribe.com/data/longscribe-transcription-benchmark-v1.json">Public benchmark-v1 JSON</a>.
Different dataset and route: High Accuracy holdout-v2
Do not compare the preceding standard-ASR v1 slices with the separate High Accuracy holdout-v2 as if they were the same dataset. High Accuracy's 14.26% WER is a separate self-published holdout-v2 result on 20 short clips / 540 reference words. That set was later used to select the High Accuracy path, so it is not independent post-selection validation, and is not a Premium or code-switching score. <a href="https://longscribe.com/data/longscribe-transcription-holdout-v2.json">Public holdout-v2 JSON</a>. The public assets do not establish reliability for code-switching, multi-hour difficult audio or exact speaker attribution.
Benchmark disclosure & machine-readable data
Published by LongScribe. LongScribe is one of the products discussed. The current cross-vendor holdout-v2 comparison is summarized on this page. TurboScribe remains preliminary and incomplete at 12/20 samples. Download the current holdout-v2 Dataset (JSON). See LongScribe High Accuracy plan and benchmark details.
Frequently asked questions
Does this test prove the overall most accurate transcription tool?
No. This is LongScribe-published evidence on 20 short clips. The measured LongScribe product is its separate High Accuracy path; results depend on language, noise, duration and workflow.
Why is TurboScribe missing from the complete-results table?
TurboScribe has 12 of 20 holdout-v2 clips completed (8.27% WER on 278 reference words). Because the test set is incomplete, it cannot be ranked alongside 20/20 runs.
What did the cross-vendor holdout-v2 measure?
Twenty frozen samples / 540 reference words across clean, non-native, noisy far-field and multi-speaker-overlap slices. LongScribe High Accuracy measured 14.26% WER, Notta 17.78% and Descript 20.00%, each on all 20 samples with asr-text-v1 normalization.
Is the Happy Scribe benchmark result complete?
Yes. Happy Scribe completed all 20 frozen benchmark-v1 samples: 20.33% WER, 11.63% CER and 90% critical-term recall. It is a full v1 result, but it should not be directly merged with holdout-v2 scores.
Is the TurboScribe 8.27% WER result final?
No. It is preliminary and incomplete: 12/20 holdout-v2 samples, 23 word errors / 278 reference words. It is excluded from the full 20/20 comparison until the remaining samples are completed.
Why is the old LongScribe benchmark JSON still linked?
It is the legacy v1 machine-readable artifact and remains available for reproducibility. The current page comparison uses holdout-v2 and represents LongScribe only as LongScribe High Accuracy.
Can I download the LongScribe benchmark data?
Yes. The public machine-readable Dataset summary is at https://longscribe.com/data/longscribe-transcription-benchmark-v1.json; the page also states the benchmark limitations and checked sources.
Does 100% number recall mean perfect number transcription?
No. The frozen references contained zero numeric targets, so the number-recall field is not evidence of numeric accuracy and is explicitly excluded from the page's accuracy claims.
What should I look for in transcription software?
Start with the workflow: recorded file, public URL or live meeting. Then compare maximum recording and upload limits, monthly minutes, timestamps, speaker labels, export formats, price and accuracy evidence. A strong tool for prerecorded long-form audio is not automatically the best live-meeting assistant, and vice versa.
Which transcription tool should I choose for live meetings?
Start with a live-meeting workflow such as Otter or Notta, depending on integrations and import limits. LongScribe focuses on recordings after capture; its 20-clip accuracy benchmark does not test live meeting bots.
Did LongScribe independently verify this ranking?
No. LongScribe ran and published the holdout and participates in it. It is a small short-clip comparison with documented limitations, not an independent or universal ranking.
Can I use the 14.26% WER result for standard Premium?
No. The 14.26% WER score is specific to LongScribe High Accuracy on the frozen holdout-v2. Standard Premium is a separate transcription path and must not inherit this accuracy claim.
How did LongScribe perform on noise, accents and overlapping speech?
In the September 2026 standard-ASR benchmark v1 (five short clips per category): clean 1.60%, non-native English 19.78%, noisy/far-field 30.11%, overlap 36.13% WER. These self-published figures are not a cross-vendor ranking, a speaker-label score or a guarantee on other recordings.
Does the 14.26% High Accuracy WER prove code-switching quality?
No. The 14.26% result is for a separate 20-short-clip holdout-v2 and High Accuracy ASR path. The sample mix did not publish a code-switching slice, and the result does not describe ordinary Premium or speaker-attribution accuracy.