Korrektur Leser-AI text correction tool

Example

Correcting subject-verb agreement errors in a news article about a local event.

Scenario

A reporter writes: 'The team have won the match.' Korrektur Leser corrects it to: 'The team has won the match.' This ensures that the article maintains grammatical accuracy without changing the message.

Example

Ensuring consistent use of tense throughout an article.

Scenario

An article switches between past and present tense: 'The mayor says the policy was effective. It reduces crime rates.' Korrektur Leser standardizes the tense: 'The mayor says the policy is effective. It reduces crime rates.' This makes the text clearer and more professional.

Example

Identifying and flagging potential bias or unsupported statements in a political article.

Scenario

A journalist writes: 'The policy is clearly a failure.' Korrektur Leser suggests adding evidence or a source to support this claim, ensuring the article adheres to journalistic standards of objectivity and evidence-based reporting.