Automated timestamp synchronization

With the audio and the transcripts you wish to align with each other, Labelf helps you fast timestamp your files with >99% precision
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What is Timestamping?

Timestamping is the process of marking the exact time when a specific word is spoken in an audio file, allowing you to access the precise audio time upon reading transcripts.

What benefits can you get with Labelf?

Precise audio playback based on texts

Timestamp your transcripts on a word, sentence, or paragraph level and allow seamless transactions between text and audio content.

High precision, beyond expectation

Labelf AI model is capable of timestamping on centisecond (0.01 seconds) or less.

Delegate your lengthy works to AI

AI and automation offer you a speedy solution to get your lengthy transcripts timestamped.

Start using just the way you like

The service can be delivered via API or integrated into your infrastructure directly.

All formats are supported

Mp3, m4a, aac, wav, whatever your audio format is; doc, pdf, txt, json, whatever your text format is; we got your back.

"We at Quartr wanted to achieve a smooth transition between audio and text content for our app users. Accuracy and scalability were must-haves but the few approaches we tried before getting in contact with Labelf did not reach the accuracy we wanted.

After we did some test runs of their timestamping service with our own data, we were more than happy both with the accuracy and the flexibility and decided to integrate it into our the content workflow for our app. The integration went smoothly and Labelf has been a cornerstone in us now having by far the best audio/text transition in the industry!"

Content Automation, Quartr - Investor Relations

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When will timestamping help?

Timestamping plays an important role when you want to listen to the original audio when reading transcripts. Texts are sometimes emotionless but audio isn't. It is therefore helpful to play back to the sentence and check if the speaker was serious or mocking.

Timestamping can also be useful when specifically referring to a deposition is needed. For example, Ms. Vasquez: “[...] play the portion from 157:21 through 158:54. It’s a recording. [...]”

Use Cases

Use Labelf AI to better understand you customers by analysing these data sources
Conference and Meeting
Lecture and Webinar

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