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Convert Audio to Text
with Document-Grade Accuracy.

Upload your audio files: interviews, depositions, earnings calls, clinical recordings. Get clean, punctuated transcripts with optional speaker labels. Upload up to 50 files at a time on paid plans, or import from Google Drive or Dropbox. Supports MP3, WAV, M4A, FLAC, OGG, AAC, and WMA.

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earnings-call-q4.mp3 1h 24m
Transcript Output 99.4% accuracy

Operator: Good afternoon, everyone. Welcome to our fourth quarter earnings call.

CFO: Revenue grew 18% year-over-year, driven primarily by enterprise expansion in EMEA and APAC.

Analyst: Could you elaborate on the margin improvement? What’s driving the 340 basis point increase?

Powering teams at
Adobe Roche Airbus NBCUniversal L'Oréal
1,500,000+ Minutes Processed
99.4% Accuracy Rate
50+ Languages
Powered by five leading speech engines, chosen per language, and our own segmentation engine
ElevenLabs Speechmatics OpenAI Deepgram AssemblyAI

Upload Your Audio. Get a Clean, Accurate Transcript.

00:00 / 02:30
Dr. Chen: The patient presented with acute dyspnea and bilateral pulmonary infiltrates on the initial chest radiograph.
Dr. Okafor: Were the troponin levels elevated at admission? That could indicate myocardial involvement.
Dr. Chen: Troponin I was 0.42 nanograms per milliliter, confirmed on serial measurement. We initiated heparin protocol per the thromboembolism pathway.
Dr. Okafor: The D-dimer and CT pulmonary angiography results would be critical for differential diagnosis here.
Dr. Chen: Exactly. CTPA confirmed bilateral subsegmental pulmonary emboli with right ventricular strain.
Named Speaker Labels Industry Terms Preserved Proper Punctuation Clean Paragraphs

Three Steps to a Finished Transcript.

1

Upload

Drop your audio files, up to 50 at a time on paid plans, or import them from Google Drive or Dropbox. Fluen auto-detects the language and starts transcribing. Supports MP3, WAV, M4A, FLAC, OGG, AAC, and WMA. Batch processing runs in the background.

2

Review & Edit

Your transcript appears in our built-in editor, with its own audio player and playback sync. Punctuation, paragraph breaks, and speaker labels (if you turned them on) are already in place. Apply your custom glossary for domain-specific terms.

3

Export or Integrate

Download a TXT, Word, or PDF transcript grouped by speaker, or subtitles in 7 formats. Or automate your pipeline with Zapier or our REST API, ideal for recurring content libraries.

Start Transcribing

Your Industry Jargon, Transcribed Correctly

Fluen’s Custom Glossary ensures domain-specific terms appear exactly as they should. No more correcting “HIPAA” to “hippo” or “amortization” to “a mortization.”

Patient presents with bilateral pulmonary embolism confirmed via CT pulmonary angiography. Initial troponin I was elevated at 0.42 ng/mL. We initiated the heparin protocol and ordered serial D-dimer measurements.

— Is there concern for right ventricular dysfunction?

Echo showed mild RV dilation with preserved TAPSE. We’ll reassess with repeat echocardiography at 48 hours per the ESC guidelines.

CT pulmonary angiography troponin I heparin TAPSE ESC guidelines

Looking at the EBITDA margin expansion, we achieved 340 basis points of improvement year-over-year. The free cash flow conversion was 92%, well above our guidance range of 85 to 90 percent.

— Can you speak to the amortization of the goodwill from the Q2 acquisition?

The purchase price allocation is still being finalized, but preliminary intangible asset amortization is running at approximately $12 million per quarter on a straight-line basis.

EBITDA free cash flow amortization goodwill purchase price allocation

We migrated the inference pipeline to Kubernetes with autoscaling based on GPU utilization thresholds. The latency P99 dropped from 1,200 milliseconds to 340 milliseconds after switching to gRPC over REST.

— What about the model quantization impact on accuracy?

INT8 quantization showed less than 0.3% WER degradation compared to the FP16 baseline, while reducing VRAM usage by 40 percent.

Kubernetes latency P99 gRPC INT8 quantization WER

Not All Transcription Tools Are Created Equal

Manual Service Basic AI Tool Free Converter Fluen AI
Accuracy ~99% (human) 85–92% 75–85% Up to 99.4%
Turnaround 24–72 hours Minutes Minutes Minutes (production-ready)
Jargon Handling Specialist needed No glossary No glossary Custom glossary per project
Speaker Detection Manual tagging Basic None Named speaker labels
Batch Processing Per-file pricing Limited One file at a time Up to 50 files per upload
Editing Tools Email revisions Basic editor Copy-paste Built-in editor with playback sync
API Access None Varies None REST API + Zapier
Cost $1–3 per minute $0.10–0.30/min Free (limited) From $0.19/min

Built for Teams That Transcribe at Scale

Multi-Engine AI

Fluen regularly benchmarks five leading speech engines (ElevenLabs, Speechmatics, Deepgram, AssemblyAI, and OpenAI) and routes each language to the one that handles it best. Speakers switch languages? Turn on Multi-language audio at upload.

Speaker Recognition

Turn on speaker labels at upload and Fluen detects every distinct voice in interviews, depositions, and multi-person recordings. Choose name labels or dashes: transcripts are grouped into paragraphs by speaker, and subtitle files show names as [Speaker Name]. Rename or reassign speakers in the editor before you export. Powered by an industry-leading speaker recognition model.

Batch Processing

Upload up to 50 files at a time on paid plans, or import them from Google Drive or Dropbox. Fluen processes them in the background, ideal for working through large audio archives.

Custom Glossary

Define how legal terms, medical jargon, brand names, and technical vocabulary should appear in your transcripts.

Built-in Editor

Review your transcript in the editor's dedicated audio player, synced to the text. Edit inline, click the timeline to jump to any moment, and fix any rare errors before export.

REST API & Zapier

Automate your transcription pipeline with our REST API, or connect Fluen to thousands of apps with Zapier. Submit files, check their status, and fetch the finished subtitles automatically.

Trusted Across Industries That Rely on Accurate Records

Media & Journalism

Interviews, field recordings, press briefings, podcasts

  • Searchable archives from years of recorded content
  • Fast turnaround for breaking news transcripts
  • Repurpose audio into articles, show notes, and SEO content

Legal & Compliance

Depositions, hearings, compliance calls, witness statements

  • Document-grade transcripts that become official records
  • Custom glossary for legal terminology and case-specific terms
  • Named speaker labels for multi-party proceedings

Research & Healthcare

Focus groups, patient interviews, clinical dictation, academic lectures

  • Medical and scientific terminology preserved accurately
  • Batch-process entire study interview libraries
  • Timestamped transcripts for qualitative analysis

Corporate & Podcasts

Earnings calls, board meetings, training recordings, podcast episodes

  • Recurring batch processing via Zapier or the API for regular content
  • Make every meeting searchable and shareable
  • Turn episodes into show notes and blog posts at scale
“We handle around 200 deposition recordings per quarter. Before Fluen, each one was manually transcribed at $2+ per audio minute. Now we upload a batch, apply our legal glossary, and the output is clean enough to go straight into our case management system. The ROI was obvious within the first month.”
KW Chicago, IL
“We produce five podcast episodes a week and need transcripts for show notes, SEO, and compliance. Fluen handles the volume without breaking a sweat. The speaker detection is solid and the punctuation is actually usable, which was never the case with the free tools we tried before.”
JM Toronto, Canada
“Our IR team records every quarterly earnings call and analyst meeting. We needed a way to get accurate transcripts fast, especially financial terminology like EBITDA and amortization schedules. Fluen's glossary feature solved that instantly. It just works.”
RL Frankfurt, Germany

Your Transcript Is Just the Beginning.

Subtitle list and timeline with video frames in the Fluen editor

Have Video Files Too?

Fluen handles video transcription with the same accuracy, speaker labels, and batch processing. Same workflow, same quality.

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Subtitle Translation

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Translate your content into 50+ languages with context-aware AI. Natural, properly segmented results ready for global distribution.

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Works With All Major Audio Formats

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MP3 WAV M4A FLAC OGG AAC WMA
Output
Plain Text Word PDF SRT WebVTT & more
Start free with 3 files. Plans from $29/mo for 150 minutes.
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Frequently Asked Questions

How accurate is the audio transcription?

Fluen achieves up to 99.4% accuracy. We regularly benchmark five leading speech engines and route each language to the one that handles it best, so you’re not locked into a single AI. Transcripts include proper punctuation, capitalization, clean paragraph breaks, and optional speaker labels.

What audio formats are supported?

Fluen supports all major audio formats including MP3, WAV, M4A, FLAC, OGG, AAC, and WMA. You can also upload video files (MP4, MOV, MKV, AVI) and Fluen will extract and transcribe the audio track automatically. You can also import files from Google Drive or Dropbox.

Can I process multiple audio files at once?

Yes. On paid plans you can upload up to 50 files at a time, or import them from Google Drive or Dropbox, and they’ll be queued and transcribed in the background. You’ll be notified as each transcript is ready for review, and Zapier or our API can automate new uploads. This is ideal for teams processing interview libraries, meeting archives, or podcast back-catalogs.

How does the Custom Glossary work?

The Custom Glossary lets you define how domain-specific terms should appear in your transcripts. Add legal terminology, medical jargon, brand names, financial acronyms, or any specialized vocabulary. Fluen will recognize and render these terms correctly, eliminating the most common source of transcription errors in professional content.

Does Fluen detect different speakers?

Yes. Speaker labels are off by default: turn them on when you upload, or set them as a workspace default, and Fluen detects every distinct voice in your file using an industry-leading speaker recognition model. Choose name labels or classic dash markers. Transcripts are grouped into paragraphs by speaker, and subtitle files show names as [Speaker Name]. You can rename or reassign speakers in the editor before exporting. Especially useful for depositions, interviews, meetings, and panel discussions.

Is there an API for automated transcription?

Yes. Fluen’s REST API lets you submit audio files, check processing status, and download the finished subtitles programmatically, and our Zapier integration connects Fluen to thousands of other apps without code. This is ideal for teams with recurring content pipelines: podcast networks, legal departments, corporate communications teams, and any workflow that benefits from automation. View API docs → See the Zapier integration →

How fast is the transcription?

Most files are processed in minutes. A 60-minute audio recording typically takes 3–5 minutes to transcribe. Processing time depends on file length, recording quality, and the AI engine selected. Batch files are processed in parallel, so large queues complete faster than you’d expect.

Is there a free plan?

Yes. The free plan lets you transcribe and translate 3 files (up to 90 minutes each) and review the results in the editor, no credit card required. Downloading transcripts or subtitles, exporting video and importing your own SRT files require a paid plan. See pricing →

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