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The transcript ledger

Video Transcription

Video transcription writes your recording out as timestamped text you can read, search and export as SRT or VTT.

  • Word-level timestamps
  • Detected language
  • Speaker labelling
Transcript ledger · page 01Timecoded
00:00:04.120Speaker 1
00:00:09.740Speaker 1
00:00:15.310Speaker 2
00:00:22.055Speaker 2
00:00:28.480Speaker 1
Detected language: EnglishExport: TXT · SRT · VTT
An open ruled ledger book with a lime ribbon marker and a tipped-in index card, created with Pixazo AI
The ledger metaphor is literal: a timecode column on the left, the words on the right, speakers in the margin.
00:00
Entry one · the record

What does video transcription actually give you?

Video transcription is the step that turns a recording into a document. You hand over a file, and what comes back is not a caption track burned onto a picture but the words themselves, laid out in order with a timecode against each line, ready to be read, searched, quoted and edited like any other text.

Pixazo runs this inside the Pixazo, and the transcription engine ships in production today. It returns a transcript with word-level timestamps, notes the detected language, applies speaker labelling to the lines, and exports to SRT or VTT alongside plain text. That is the whole of it — a faithful video to text record of what was said.

Think of it as a ledger rather than a summary. Every line has a time against it, so a claim in paragraph nine can be traced back to the second it was spoken. That traceability is what makes a transcript useful for minutes, for quoting an interview, or for going back through an hour of recording to find the ninety seconds that matter.

Where the ledger stops: it records, it does not interpret. Transcribing a recording writes down what was said — it does not summarise the meeting, pull out action items, or check whether a speaker got their facts right. Those are your jobs, or another tool's.

The ledger, at a glance

CARD 01
InputA video or audio recording you upload
OutputTimestamped transcript text
TimingWord-level timestamps
LanguageDetected automatically
SpeakersSpeaker labelling on lines
ExportPlain text, SRT, VTT
Runs inBrowser, desktop & mobile
PriceFree to start · scales with your plan
A studio condenser microphone lit by a single lime edge light, created with Pixazo AI
Good audio in, good ledger out — the recording is where transcript quality is decided.

Word-level timestamps, speaker labelling, SRT and VTT out.

Transcribe a Video free
00:01
Entry two · the procedure

How do you transcribe video in four ruled steps?

Four moves open the ledger. Nothing installs; the whole flow is an upload, a wait, and a download. If you have ever used a video transcriber before, none of this will surprise you.

Step 01

Upload the video to transcribe

Go to Pixazo in your browser on desktop or a phone. There is no plugin to install and no desktop app to keep updated.

Step 02

Upload the recording

Drag in the video, or pick it from your device. A screen recording, a conference call export, a webinar file or a phone clip all go in the same way.

Step 03

Let the transcription run

The engine listens through the file, writes each line with its word-level timestamps, notes the language it detected and applies speaker labelling as the lines change voice.

Step 04

Read, correct, export

Read the ledger against the audio, fix any names or jargon by hand, then export it as plain text to work with or as SRT or VTT if you also want a timed file.

00:02
Entry three · the columns

What does the video transcription ledger write down?

Left column

Word-level timestamps

Timing is recorded per word, not just per paragraph, so a line in the transcript points back at an exact position in the recording. That is what lets you jump to a moment, trim a clip around a sentence, or cite a quote with a timecode beside it.

Header field

Detected language

The language of the recording is detected rather than declared, so you do not have to tell the tool what you are handing it. The detected language travels with the transcript, which matters when the text is going on to a translator or a subtitle workflow.

Margin tab

Speaker labelling

Lines carry speaker labels in the margin, so a two-sided conversation does not arrive as one undivided block of prose. Treat the labels as a first pass to check rather than a finished attribution — on a busy recording you will want to read them against the audio and correct where needed.

Tear-off

SRT and VTT export

The same timed record exports as SRT or VTT, the two subtitle formats every editor and video platform understands. Plain text is there too, which is the format you want when the transcript is going into a document, a CMS or a translation tool.

An engraved graphite measuring rule with one tick mark glowing lime, created with Pixazo AI
Word-level timing is the tick-mark column — the reason a transcript can be trusted back to the second.

Get the words back as text you can search and quote.

Transcribe a Video
00:03
Entry four · the entries

Five jobs the ledger is opened for

Line 01

Minutes from a recorded call

A recorded call becomes minutes far faster when you are editing a transcript down rather than typing from scratch. You keep the timecodes beside the decisions, so anyone who disputes a point can be sent to the exact minute instead of arguing about who remembers what.

Line 02

Quotes from an interview

Journalists and researchers need the sentence as it was actually said. Working from a timestamped transcript, you can lift a quote, check it against the audio at that timecode in seconds, and keep a defensible record of the wording.

Line 03

A searchable webinar archive

A year of webinars is unsearchable as video and completely searchable as text. Transcribe each session once and the archive answers questions: which episode covered pricing, when a product was first mentioned, which speaker made a given promise.

Line 04

An article drafted from a talk

A conference talk already contains an article. With the spoken text in front of you, the work becomes cutting, reordering and tightening — a much shorter job than writing a blog post from a blank page and a memory of the session.

Line 05

Accessibility and comprehension

A transcript is a genuine accessibility artefact: it lets someone read a recording they cannot hear, skim before committing forty minutes, or follow along in a second language. Publish it beside the video and the content works for more people.

A card catalogue drawer pulled open on rows of blank index cards with one lime divider tab, created with Pixazo AI
An archive of recordings only becomes searchable once each one has a text record filed against it.
00:04
Entry five · the cross-reference

Transcript, or captions? Two pages, one engine

Pixazo has a second page driven by the same transcription engine, and the difference between them is what you want at the end — a document, or a caption track.

You are here

You want the text itself

Stay on this page when the deliverable is words: a document to read, a file to search, a quote to check, a blog post to draft from a talk, or a transcript to hand to a translator. The timecodes are there for reference, but the text is the point.

That is what this tool is built around — the transcript as the finished object.

Other page

You want captions on the video

If the goal is subtitles timed onto the picture — burned in or as a sidecar file for social, YouTube or an editor — the auto subtitle generator is the page you want. Same engine underneath, framed around caption timing and styling rather than a readable document.

Plenty of people need both: captions to publish, and a transcript to work from.

A graphite document wallet with blank pages fanned out and one lime tab marker, created with Pixazo AI
Plain text for reading and editing, SRT or VTT when the same words have to sit on the picture.
00:05
Entry six · the margin notes

Where does video transcription need a human?

No transcription tool is a clean pass-through from sound to page. These are the conditions that degrade a transcript, said plainly, so you can plan the read-through instead of discovering it late.

Difficult audio degrades the result

Heavy accents, crosstalk where two people speak over each other, a poor microphone or a phone across a room, and loud background music all reduce quality. The transcript will still come back, but it will need more correcting.

Names, jargon and acronyms drift

Specialist terminology, product names, unusual surnames and acronyms often need fixing by hand. A domain glossary open beside the transcript while you read is the fastest fix.

It records, it does not think

It transcribes what was said. It does not summarise, does not condense to action items, and does not fact-check a single claim. If a speaker is wrong, the transcript will faithfully record them being wrong.

Publication needs a human read

Any transcript heading for publication — a quote in an article, minutes of record, a page on your site — should be read against the audio by a person first. Treat the output as a strong draft, not a finished document.

Speaker labels are unverified

Speaker labelling is applied to the lines, but we make no accuracy claim about it and we have not published a figure for it. On overlapping or similar-sounding voices, check the labels yourself before you attribute anything.

No accuracy number, on purpose

You will not find a percentage on this page. Accuracy depends so heavily on your recording, accents and subject matter that a single headline number would tell you nothing useful about your own file.

A magnifying glass hovering over a sheet of blank ruled paper under a lime highlight, created with Pixazo AI
The read-through is part of the job, not a sign something went wrong.
00:07
Entry eight · the index

Video transcription, answered

Is video transcription free on Pixazo?

You can start free with no credit card. Video transcription runs inside Pixazo, and heavier or longer usage follows whatever Pixazo plan you are on.

What do I actually get back?

A timestamped transcript with word-level timestamps, the detected language of the recording, speaker labelling on the lines, and the option to export as plain text, SRT or VTT.

Does it identify who is speaking?

It applies speaker labelling, so lines are separated by voice rather than arriving as one block. We make no accuracy claim for it, so read the labels against the audio before you attribute a quote to a named person.

How accurate is the transcript?

We do not publish an accuracy percentage, because the honest answer depends on your recording. Clear speech on a decent microphone reads very well; crosstalk, heavy accents and background music all need more correcting.

Which languages work?

The language is detected from the audio rather than set by you, and the detected language is reported with the transcript. If you are working towards a translation, that field is the one your translator will want.

Can I use it to make subtitles?

You can, because SRT and VTT are both export options. If captions timed onto the video are your actual goal, the auto subtitle generator page is built around that job instead.

Will it summarise the meeting for me?

No. It writes down what was said and nothing more. Summarising, pulling action items and fact-checking are separate steps you or another tool take after the transcript exists.

Can I transcribe from my phone?

Yes. The Pixazo runs in a mobile browser, so you can upload a recording and read the ledger on an iPhone or Android device with nothing to install.

Can I edit the transcript afterwards?

Yes, and you should. Export the plain text and correct names, acronyms and any misheard jargon in your own editor before the transcript goes anywhere public.

DJ
Content Marketing specialist · Pixazo · Reviewed & updated July 2026

Deepak Joshi is a Content Marketing specialist having a combined experience of 10+ years working in the digital world. He is one of the active contributors to Pixazo Blog and has keen interest creating and marketing content related to AI tools, No-Code technology, Design Industry, Social Influencers, and other trending topics. A health and sport enthusiast, Deepak loves to indulge in all kinds of sports & games.

Author page · Pixazo on LinkedIn

Upload · Transcribe · Read

Open the ledger on your own recording.

Timestamped lines, detected language, speaker labelling and SRT or VTT export — free to start, straight in your browser.

Transcribe a Video free
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  • Text, SRT and VTT
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